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Capture metadata, default branch, README/docs structure, recent commits/releases, issues/PRs, workflows and external links. Identify stale, duplicated or orphaned surfaces. Evidence only.\"},\n {id:\"GH02\", owner:\"LEX\", title:\"Reputation, claims and documentation audit\", instruction:\"Audit README first-screen quality, public claims, author attribution, positioning, terminology consistency, unsupported superiority/adoption/listing/audit/partnership implications and Architecture/Implementation truth boundaries. Produce exact corrections, not cosmetic praise.\"},\n {id:\"GH03\", owner:\"ATLAS\", title:\"Cross-repository architecture consistency\", instruction:\"Map the public architecture across IMPERIAL Core, HANTER, ORION, NCA, Legion, AGI, CYBER HAK and CRYPTO IMPERIAL. Flag contradictions, missing interfaces, unclear source authority and topology inconsistencies. Do not infer private implementation.\"},\n {id:\"GH04\", owner:\"NEXUS\", title:\"GitHub UX, navigation and public surface audit\", instruction:\"Check repository descriptions, README navigation, badges, links, docs discoverability, mobile readability, website links and cross-repo navigation. Produce a professional GitHub information-architecture remediation plan.\"},\n {id:\"GH05\", owner:\"PRISM\", title:\"Evidence maturity and status truth audit\", instruction:\"Classify every material status claim found in public repos as VERIFIED_FACT, OBSERVED_PUBLIC_EVIDENCE, ARCHITECTURAL_INTENT, ROADMAP_TARGET, UNKNOWN or PROHIBITED. Flag pipeline/revenue or capability/production confusion.\"},\n {id:\"GH06\", owner:\"AGI.S\", title:\"Digital-asset repository evidence audit\", instruction:\"Review CRYPTO IMPERIAL public materials for token/on-chain claims, chain/network facts, settlement/liquidity language and risk boundaries. No price promises, investment advice or inferred adoption.\"},\n {id:\"GH07\", owner:\"REM\", title:\"Professional public positioning review\", instruction:\"Assess whether the GitHub portfolio communicates one coherent professional story to developers, partners, investors and researchers. Recommend evidence-led positioning and calls to action without hype.\"},\n {id:\"GH08\", owner:\"ORION\", title:\"Cross-agent GitHub synthesis\", instruction:\"Synthesize all specialist findings into one evidence-weighted report: canonical inventory, P0/P1/P2 findings, source-authority risks, reputation risks, quick wins, structural fixes and exact next mission. Record dissent/uncertainty where evidence is incomplete.\"}\n];\n\nexport default async function(){\n const observedAt = new Date().toISOString();\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS aurelius_research_missions(id TEXT PRIMARY KEY,title TEXT NOT NULL,status TEXT NOT NULL,priority TEXT NOT NULL,scope TEXT NOT NULL,created_at TEXT NOT NULL,updated_at TEXT NOT NULL)\");\n await sqlite.execute({sql:\"INSERT INTO aurelius_research_missions(id,title,status,priority,scope,created_at,updated_at) VALUES(?,?,?,?,?,?,?) ON CONFLICT(id) DO UPDATE SET title=excluded.title,status=excluded.status,priority=excluded.priority,scope=excluded.scope,updated_at=excluded.updated_at\",args:[MISSION_ID,\"Full GitHub Ecosystem Research & Reputation Audit\",\"ACTIVE\",\"P0_REPUTATION\",JSON.stringify(scope),observedAt,observedAt]});\n for(const a of assignments){\n await hubPost({action:\"message\",sender:\"AURELIUS\",recipient:a.owner,kind:\"GITHUB_ECOSYSTEM_RESEARCH_TASK\",priority:\"HIGH\",payload:{missionId:MISSION_ID,observedAt,scope,task:a,reportRequirements:[\"evidence_source\",\"finding\",\"severity\",\"truth_class\",\"impact\",\"recommended_fix\",\"confidence\"],writeAuthority:\"READ_ONLY_RESEARCH_NO_REPOSITORY_MUTATION\"}});\n }\n await 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{ sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nexport default async function(){\n const q=await sqlite.execute(\"SELECT observed_at,payload FROM cycles ORDER BY id DESC LIMIT 1\"); const row:any=q.rows?.[0]; const x=row?.payload?JSON.parse(String(row.payload)):null;\n return Response.json({service:\"ORION — First NCA Team Collective Intelligence\",teamId:x?.teamId??\"ORION-FIRST-NCA-TEAM-001\",state:\"ACTIVE_CONTROLLED_PILOT\",schedule:\"EVERY_15_MINUTES\",mode:x?.mode??\"COLLECTIVE_INTELLIGENCE_CONSENSUS\",team:x?.team??[],teamSize:(x?.team??[]).length,method:x?.method??null,rule:x?.rule??null,authority:x?.authority??\"ADVISORY_SYNTHESIS_ONLY\",contributors:Object.keys(x?.contributions??{}),solutionSelection:x?.strategy?.solutionSelection??null,publicStrategy:{objective:\"PROFESSIONAL_EVIDENCE_LED_DIFFERENTIATION\",principle:x?.strategy?.publicNarrative?.principle??null,proofDimensions:x?.strategy?.publicNarrative?.proofDimensions??[],forbidden:x?.strategy?.publicNarrative?.forbidden??[]},usdReferenceLayer:x?.strategy?.usdReferenceLayer?{missionId:x.strategy.usdReferenceLayer.missionId,status:x.strategy.usdReferenceLayer.status,synthesis:x.strategy.usdReferenceLayer.synthesis,unresolved:x.strategy.usdReferenceLayer.unresolved,decisionRule:x.strategy.usdReferenceLayer.decisionRule,specialistReviewers:Object.keys(x.strategy.usdReferenceLayer.specialistReviews??{})}:null,truthBoundary:\"PUBLIC_STATUS_IS_SANITIZED; INTERNAL_PIPELINE_METRICS_AND_TEAM_MESSAGES_ARE_NOT_EXPOSED\",latestObservedAt:row?.observed_at??null},{headers:{\"cache-control\":\"no-store\"}})\n}","label","imperial-orion-team",[145],"6cca0664-dcbf-4b62-82c3-27ca3fc5d2ff","professionalization-policy-test.ts","49546fea-a164-11f1-ac0c-1607ee4eb77e",42,["D",1787758774912],1,"type Candidate={name:string,taskFit:number,source:number,security:number,privacy:number,compatibility:number,maintainability:number,testability:number,measuredImprovement:number,duplicate:boolean,excessivePermissions:boolean};\nfunction decide(c:Candidate){\n const hardReject=c.duplicate||c.excessivePermissions||c.security<80||c.privacy<80||c.compatibility<80||c.testability<70;\n const score=(c.taskFit+c.source+c.security+c.privacy+c.compatibility+c.maintainability+c.testability)/7;\n if(hardReject)return {decision:\"REJECT\",score:Number(score.toFixed(1)),measuredImprovement:c.measuredImprovement};\n if(c.measuredImprovement<10)return {decision:\"NO_UPGRADE_JUSTIFIED\",score:Number(score.toFixed(1)),measuredImprovement:c.measuredImprovement};\n if(score>=90&&c.measuredImprovement>=20)return {decision:\"ADOPT\",score:Number(score.toFixed(1)),measuredImprovement:c.measuredImprovement};\n return {decision:\"PILOT\",score:Number(score.toFixed(1)),measuredImprovement:c.measuredImprovement};\n}\nconst cases=[\n {id:\"DUPLICATE_POPULAR_TOOL\",candidate:{name:\"popular-duplicate\",taskFit:95,source:95,security:95,privacy:95,compatibility:95,maintainability:90,testability:90,measuredImprovement:25,duplicate:true,excessivePermissions:false},expected:\"REJECT\"},\n {id:\"OVERPERMISSIONED_PLUGIN\",candidate:{name:\"broad-access-tool\",taskFit:92,source:90,security:75,privacy:70,compatibility:90,maintainability:85,testability:85,measuredImprovement:30,duplicate:false,excessivePermissions:true},expected:\"REJECT\"},\n {id:\"NO_MEASURED_GAIN\",candidate:{name:\"no-gain-skill\",taskFit:90,source:95,security:95,privacy:95,compatibility:95,maintainability:90,testability:90,measuredImprovement:5,duplicate:false,excessivePermissions:false},expected:\"NO_UPGRADE_JUSTIFIED\"},\n {id:\"STRONG_MEASURED_UPGRADE\",candidate:{name:\"measured-professional-upgrade\",taskFit:96,source:96,security:96,privacy:94,compatibility:95,maintainability:92,testability:94,measuredImprovement:28,duplicate:false,excessivePermissions:false},expected:\"ADOPT\"},\n {id:\"PROMISING_NOT_PROVEN\",candidate:{name:\"pilot-candidate\",taskFit:88,source:90,security:90,privacy:90,compatibility:88,maintainability:82,testability:82,measuredImprovement:14,duplicate:false,excessivePermissions:false},expected:\"PILOT\"}\n] as const;\nconst results=cases.map(x=>{const r=decide(x.candidate as Candidate);return {...x,result:r,pass:r.decision===x.expected}});\nconst passed=results.filter(x=>x.pass).length;\nconsole.log(JSON.stringify({ok:passed===results.length,policy:\"BEST_AVAILABLE_EVIDENCE_NOT_FIRST_RESULT\",method:\"BASELINE_VS_WITH_SKILL_MEASURED_VALUE_GATE\",passed,total:results.length,results}));\nif(passed!==results.length)throw new Error(`POLICY_TEST_FAILED_${passed}_${results.length}`);\n",[157],"0485ec48-11aa-449f-a8ab-01f60a0f46bc","orion-cycle.ts","078e4f42-a0b3-11f1-8ab7-1607ee4eb77e",45,["D",1787759045329],10,"interval","import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst HUB=\"https://imperial-agent-dealroom.val.run/\";\nconst TEAM=[\"REM\",\"AGI.S\",\"CLOSER\",\"FORGE\",\"ATLAS\",\"SCOUT\",\"CARE\",\"PRISM\",\"LEX\",\"NEXUS\"];\nconst SYSTEM=\"ORION\";\n\nfunction key(){return Deno.env.get(\"ORION_LINK_KEY\")||\"\"}\nasync function hubGet(){const r=await fetch(HUB,{headers:{\"x-imperial-agent-key\":key(),\"user-agent\":\"ORION-NCA-TEAM-001\"}});if(!r.ok)throw new Error(`HUB_GET_${r.status}`);return await r.json()}\nasync function hubPost(body:any){const r=await fetch(HUB,{method:\"POST\",headers:{\"content-type\":\"application/json\",\"x-imperial-agent-key\":key()},body:JSON.stringify(body)});if(!r.ok)throw new Error(`HUB_POST_${r.status}:${await r.text()}`);return await r.json()}\nfunction parse(x:any){try{return JSON.parse(String(x??\"{}\"))}catch{return {raw:String(x??\"\")}}}\nfunction counts(rows:any[],key:string){const out:Record={};for(const r of rows){const k=String(r?.[key]??\"UNKNOWN\");out[k]=(out[k]||0)+1}return out}\nfunction recentContributions(messages:any[]){\n const by:Record={};\n for(const m of messages){const s=String(m.sender);if(!TEAM.includes(s)||by[s])continue;by[s]={at:m.created_at,kind:m.kind,priority:m.priority,payload:parse(m.payload)};}\n return by;\n}\nfunction usdReferenceReviews(messages:any[]){\n const by:Record={};\n for(const m of messages){\n const p=parse(m.payload); const s=String(m.sender);\n const explicit=String(m.kind)===\"USD_REFERENCE_LAYER_REVIEW_RESPONSE\"&&String(m.recipient)===\"ORION\";\n const agis= s===\"AGI.S\"&&String(m.recipient)===\"ORION\"&&String(m.kind)===\"SPECIALIST_CONTRIBUTION\"&&String(p.truthBoundary||\"\")===\"REFERENCE_AND_SETTLEMENT_ARCHITECTURE_IS_NOT_A_PEG_NOT_LIQUIDITY_NOT_A_MARKET_LAUNCH\";\n if((explicit||agis)&&!by[s])by[s]={at:m.created_at,kind:m.kind,payload:p};\n }\n return by;\n}\nfunction buildConsensus(data:any,observedAt:string){\n const deals=Array.isArray(data.deals)?data.deals:[];\n const leads=Array.isArray(data.leads)?data.leads:[];\n const campaigns=Array.isArray(data.campaigns)?data.campaigns:[];\n const products=Array.isArray(data.products)?data.products:[];\n const opportunities=Array.isArray(data.opportunities)?data.opportunities:[];\n const deliverables=Array.isArray(data.deliverables)?data.deliverables:[];\n const revenue=Array.isArray(data.revenueEvents)?data.revenueEvents:[];\n const customers=Array.isArray(data.customerAccounts)?data.customerAccounts:[];\n const messages=Array.isArray(data.messages)?data.messages:[];\n const won=deals.filter((d:any)=>[\"WON\",\"CLOSED_WON\",\"CONTRACTED\",\"PAID\",\"ACTIVE_CUSTOMER\"].includes(String(d.stage).toUpperCase()));\n const verifiedRevenue=revenue.filter((r:any)=>String(r.status).toUpperCase()===\"VERIFIED\"&&Number(r.amount)>0);\n const inbound=messages.filter((m:any)=>[\"INBOUND_PRODUCT_LEAD\",\"CUSTOMER_REPLY\",\"CUSTOMER_FEEDBACK\",\"INVESTOR_REPLY\"].includes(String(m.kind))).length;\n const highOpp=opportunities.filter((o:any)=>Number(o.score)>=80).length;\n const contributions=recentContributions(messages);\n const usdReviews=usdReferenceReviews(messages);\n if(!contributions[\"CLOSER\"]&&deals.length)contributions[\"CLOSER\"]={at:deals[0]?.updated_at,kind:\"DEAL_PIPELINE_ARTIFACT\",priority:\"NORMAL\",payload:{records:deals.length}};\n if(!contributions[\"FORGE\"]&&products.length)contributions[\"FORGE\"]={at:products[0]?.updated_at,kind:\"PRODUCT_PORTFOLIO_ARTIFACT\",priority:\"NORMAL\",payload:{records:products.length}};\n if(!contributions[\"ATLAS\"]&&deliverables.length)contributions[\"ATLAS\"]={at:deliverables[0]?.updated_at,kind:\"DELIVERY_ARTIFACT\",priority:\"NORMAL\",payload:{records:deliverables.length}};\n if(!contributions[\"SCOUT\"]&&opportunities.length)contributions[\"SCOUT\"]={at:opportunities[0]?.updated_at,kind:\"OPPORTUNITY_ARTIFACT\",priority:\"NORMAL\",payload:{records:opportunities.length}};\n if(!contributions[\"REM\"]&&campaigns.length)contributions[\"REM\"]={at:campaigns[0]?.updated_at,kind:\"CAMPAIGN_ARTIFACT\",priority:\"NORMAL\",payload:{records:campaigns.length}};\n const bottlenecks:any[]=[];\n if(inbound===0)bottlenecks.push({code:\"NO_VERIFIED_INBOUND\",severity:\"P0\",owner:\"REM+NEXUS\",solution:\"Increase real distribution, strengthen first-screen value proposition, publish platform-native variants, measure replies/clicks rather than content volume.\"});\n if(won.length===0)bottlenecks.push({code:\"NO_WON_DEAL\",severity:\"P0\",owner:\"CLOSER+LEX\",solution:\"Prioritize qualified accounts with verified business routes; run one-to-one discovery; use evidence-led positioning and explicit next step.\"});\n if(verifiedRevenue.length===0)bottlenecks.push({code:\"NO_VERIFIED_REVENUE\",severity:\"P0\",owner:\"PRISM\",solution:\"Keep pipeline separate from revenue and create a verified revenue record only after payment evidence exists.\"});\n if(products.length&&deliverables.length)bottlenecks.push({code:\"OFFER_AND_DELIVERY_READY\",severity:\"P1\",owner:\"FORGE+ATLAS\",solution:\"Stop adding generic offers; learn from discovery objections and optimize the strongest existing offer.\"});\n if(highOpp>20)bottlenecks.push({code:\"OPPORTUNITY_OVERLOAD\",severity:\"P1\",owner:\"SCOUT\",solution:\"Reduce volume. Rank by verified need, official business route, decision-maker access, urgency and fit.\"});\n const strategy={\n objective:\"FIRST_VERIFIED_CUSTOMER_AND_REVENUE_WITH_PROFESSIONAL_DIFFERENTIATION\",\n solutionSelection:{\n policy:\"BEST_AVAILABLE_EVIDENCE_NOT_FIRST_RESULT\",\n discoverySkill:\"find-skills\",\n gate:[\"SOURCE_REPUTATION\",\"CONTENT_REVIEW\",\"PERMISSION_MINIMIZATION\",\"DUPLICATE_CHECK\",\"COMPATIBILITY\",\"SECURITY\",\"COST\",\"MAINTAINABILITY\",\"TESTABILITY\",\"SANDBOX_TEST\",\"ADOPT_OR_REJECT\"],\n rankingRule:\"Compare viable candidates on evidence, task fit, safety, compatibility, cost, maintainability and measured test results. Popularity is supporting evidence, never proof of correctness.\",\n minimumRule:\"If no candidate materially improves the current system, keep the current capability and record NO_UPGRADE_JUSTIFIED.\",\n truthRule:\"BEST means best supported option among evaluated candidates for the stated task and constraints, not an absolute market-wide guarantee.\"\n },\n publicNarrative:{\n principle:\"Do not claim our crypto is universally better. Prove where IMPERIUM / CRYPTO IMPERIAL differs using an evidence matrix against named market alternatives.\",\n proofDimensions:[\"agent-native utility\",\"governance and approval boundaries\",\"auditability\",\"verified on-chain facts\",\"ecosystem integration\",\"security model\",\"transparency of claims\",\"liquidity readiness\",\"developer usability\"],\n forbidden:[\"guaranteed returns\",\"price promises\",\"fabricated adoption\",\"fabricated partnerships\",\"unverified exchange listings\",\"unsupported superiority claims\"],\n callToAction:\"Invite technical, ecosystem and institutional audiences to inspect evidence, compare architecture and start a scoped conversation.\"\n },\n usdReferenceLayer:Object.keys(usdReviews).length?{\n missionId:\"IC-USD-REFERENCE-LAYER-001\",\n status:\"READ_ONLY_ARCHITECTURE_RECOMMENDED\",\n specialistReviews:usdReviews,\n synthesis:{canonicalSettlementAsset:\"Native USDC on Polygon PoS\",NDB:\"Floating fixed-supply asset with USDC quote/settlement; no fixed peg\",IMPERIUM:\"Floating asset with USDC quote/settlement\",MONARCH:\"Floating fixed-supply asset with USDC quote/settlement\",execution:\"NO_REAL_VALUE_ACTION_AUTHORIZED\"},\n unresolved:[\"LEGAL_COMPLIANCE_REVIEW\",\"ORACLE_TWAP_DESIGN\",\"LIQUIDITY_RISK_SIMULATION\",\"DEX_VENUE_SELECTION\",\"LIQUIDITY_BUDGET_AND_SOURCE\"],\n decisionRule:\"Reference/settlement architecture may proceed in read-only design and simulation. Any pool creation, swap, mint/burn, transfer, signing or peg activation requires Architect approval and gate evidence.\"\n }:null,\n executionSequence:[\n \"SCOUT: keep a working shortlist of no more than 5 highest-actionability opportunities; prefer verified need, official route, decision-maker access, urgency and fit over volume\",\n \"LEX: convert evidence into differentiated positioning, headlines, claims ledger and web narrative\",\n \"NEXUS: implement/test landing pages and platform-native distribution assets\",\n \"REM: concentrate distribution on the strongest evidence-backed messages and measure actual response instead of content volume\",\n \"CLOSER: concentrate on no more than 5 highest-quality accounts at a time and move them to discovery/meeting/proposal before expanding the active set\",\n \"AGI.S: continue institutional capital/liquidity qualification without promising outcomes\",\n \"FORGE: adjust offers from real objections and demand evidence\",\n \"ATLAS: prepare account-specific delivery plan after qualified discovery\",\n \"CARE: activate only after a real customer event\",\n \"PRISM: measure conversion and verified revenue; feed bottlenecks back to the team\"\n ]\n };\n return {schema:\"ic.orion.team-consensus.v1\",observedAt,teamId:\"ORION-FIRST-NCA-TEAM-001\",team:TEAM,mode:\"COLLECTIVE_INTELLIGENCE_CONSENSUS\",authority:\"ADVISORY_SYNTHESIS_ONLY\",architectFinalAuthority:true,method:\"EVIDENCE_WEIGHTED_COOPERATIVE_SYNTHESIS\",rule:\"Agents may contribute different specialist views; ORION converts divergence into one evidence-led action plan instead of winner/loser debate.\",metrics:{leads:leads.length,deals:deals.length,wonDeals:won.length,verifiedRevenueEvents:verifiedRevenue.length,verifiedCustomers:customers.length,inboundSignals:inbound,campaigns:campaigns.length,products:products.length,highScoreOpportunities:highOpp,deliverables:deliverables.length},contributions,bottlenecks,strategy,truthBoundary:\"CONSENSUS_IS_A_COORDINATION_RECOMMENDATION_NOT_EXECUTION_AUTHORITY\"};\n}\n\nexport default async function(_interval:Interval){\n const observedAt=new Date().toISOString();\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS cycles(id INTEGER PRIMARY KEY AUTOINCREMENT,observed_at TEXT NOT NULL,payload TEXT NOT NULL)\");\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS state(key TEXT PRIMARY KEY,value TEXT NOT NULL)\");\n const data=await hubGet();\n const consensus=buildConsensus(data,observedAt);\n if(!consensus.contributions[\"CARE\"]){\n try{const r=await fetch(\"https://imperial-care-live.val.run/\",{headers:{\"user-agent\":\"ORION-NCA-TEAM-001\"}});if(r.ok){const x=await r.json();consensus.contributions[\"CARE\"]={at:x.latestObservedAt??observedAt,kind:\"CUSTOMER_SUCCESS_RUNTIME_STATUS\",priority:\"NORMAL\",payload:{state:x.state,verifiedCustomers:x.metrics?.verifiedCustomers??0}}}}catch{}\n }\n if(!consensus.contributions[\"PRISM\"]){\n try{const r=await fetch(\"https://imperial-prism-live.val.run/\",{headers:{\"user-agent\":\"ORION-NCA-TEAM-001\"}});if(r.ok){const x=await r.json();consensus.contributions[\"PRISM\"]={at:x.latestObservedAt??observedAt,kind:\"REVOPS_RUNTIME_STATUS\",priority:\"NORMAL\",payload:{state:x.state,verifiedRevenueUsd:x.revenueTruth?.verifiedRevenueUsd??0,verifiedWonDeals:x.revenueTruth?.verifiedWonDeals??0,verifiedCustomers:x.revenueTruth?.verifiedCustomers??0}}}}catch{}\n }\n const digest=JSON.stringify({metrics:consensus.metrics,bottlenecks:consensus.bottlenecks.map((x:any)=>x.code),contrib:Object.entries(consensus.contributions).map(([k,v]:any)=>[k,v.kind,v.at])});\n const q=await sqlite.execute(\"SELECT value FROM state WHERE key='last_digest'\");\n const changed=String(q.rows?.[0]?.value||\"\")!==digest;\n if(changed){\n for(const recipient of TEAM){\n await hubPost({action:\"message\",sender:SYSTEM,recipient,kind:\"ORION_TEAM_BRIEF\",priority:consensus.bottlenecks.some((x:any)=>x.severity===\"P0\")?\"HIGH\":\"NORMAL\",payload:{observedAt,objective:consensus.strategy.objective,bottlenecks:consensus.bottlenecks,strategy:consensus.strategy,recipientInstruction:consensus.strategy.executionSequence.find((x:string)=>x.startsWith(recipient+\":\"))||\"Contribute specialist evidence and coordinate with the team.\",rule:consensus.rule,authority:consensus.authority}});\n }\n await sqlite.execute({sql:\"INSERT INTO state(key,value) VALUES('last_digest',?) ON CONFLICT(key) DO UPDATE SET value=excluded.value\",args:[digest]});\n }\n await sqlite.execute({sql:\"INSERT INTO cycles(observed_at,payload) VALUES(?,?)\",args:[observedAt,JSON.stringify(consensus)]});\n console.log(JSON.stringify({ok:true,observedAt,system:SYSTEM,team:TEAM.length,changed,metrics:consensus.metrics,bottlenecks:consensus.bottlenecks.map((x:any)=>x.code),contributors:Object.keys(consensus.contributions)}));\n}",[165],"7cf4c8dc-18b3-4a60-a7f2-74b93208b437","obsidian-export.ts","a1d82c96-a14c-11f1-8630-1607ee4eb77e",27,["D",1787754263235],4,"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport JSZip from \"npm:jszip\";\n\nfunction yamlSafe(v:any){return String(v??\"\").replace(/\"/g,\"\\\\\\\"\")}\nfunction fmt(x:any){return JSON.stringify(x,null,2)}\nexport default async function(){\n let aurelius:any=null, orion:any=null;\n try{const q=await sqlite.execute(\"SELECT payload FROM aurelius_events WHERE kind='ORCHESTRATION_CYCLE' ORDER BY id DESC LIMIT 1\"); if(q.rows?.length)aurelius=JSON.parse(String(q.rows[0].payload));}catch{}\n try{const q=await sqlite.execute(\"SELECT payload FROM cycles ORDER BY id DESC LIMIT 1\"); if(q.rows?.length)orion=JSON.parse(String(q.rows[0].payload));}catch{}\n const now=new Date().toISOString();\n const top5=(aurelius?.top5??[]).map((x:any,i:number)=>`${i+1}. **${x.name}** — score ${x.score}, stage ${x.stage}${x.sourceUrl?` — ${x.sourceUrl}`:\"\"}`).join(\"\\n\")||\"No active targets.\";\n const tasks=(aurelius?.tasks??[]).map((t:any)=>`- [${String(t.status).startsWith(\"ACTIVE\")?\" \":\"-\"}] **${t.id} · ${t.owner}** — ${t.title} \\n Status: \\`${t.status}\\` · Priority: \\`${t.priority}\\``).join(\"\\n\")||\"No tasks.\";\n const bottlenecks=(orion?.bottlenecks??[]).map((b:any)=>`- **${b.code}** (${b.severity}) — ${b.solution}`).join(\"\\n\")||\"No current bottlenecks.\";\n const contrib=Object.entries(orion?.contributions??{}).map(([k,v]:any)=>`- **${k}** — ${v.kind} · ${v.at}`).join(\"\\n\")||\"No contributions.\";\n const home=`---\\ntitle: IMPERIAL Core — ORCH-001 Workspace\\ntype: dashboard\\ngenerated_at: \"${yamlSafe(now)}\"\\norchestrator: ORCH-REVENUE-001\\n---\\n# IMPERIAL Core — ORCH-001 Workspace\\n\\n## Navigation\\n- [[01-AURELIUS-MISSION]]\\n- [[02-ORION-CONSENSUS]]\\n- [[03-NCA-TEAM]]\\n- [[04-EVIDENCE-STATUS]]\\n- [[05-USD-REFERENCE-LAYER]]\\n\\n## Current objective\\n**FIRST VERIFIED CUSTOMER → FIRST VERIFIED REVENUE**\\n\\n> Generated from live AURELIUS + ORION runtime evidence. This vault snapshot is read-only export evidence, not execution authority.\\n`;\n const mission=`---\\ntitle: AURELIUS Mission\\ntype: mission\\nmission_id: ${yamlSafe(aurelius?.mission?.id??\"UNKNOWN\")}\\nstatus: ${yamlSafe(aurelius?.mission?.status??\"UNKNOWN\")}\\n---\\n# AURELIUS — ORCH-REVENUE-001\\n\\n## Mission\\n${aurelius?.mission?.objective??\"UNKNOWN\"}\\n\\n## Top 5 active targets\\n${top5}\\n\\n## Mission graph\\n${tasks}\\n\\n## Authority boundary\\n- Domain orchestration only.\\n- ORION provides collective intelligence/advisory synthesis.\\n- Binding external commitments remain outside AURELIUS authority.\\n- Architect remains final authority.\\n`;\n const consensus=`---\\ntitle: ORION Consensus\\ntype: collective-intelligence\\nobserved_at: \"${yamlSafe(orion?.observedAt??now)}\"\\n---\\n# ORION Collective Intelligence\\n\\n## Current bottlenecks\\n${bottlenecks}\\n\\n## Specialist contributions\\n${contrib}\\n\\n## Selection policy\\n**BEST_AVAILABLE_EVIDENCE_NOT_FIRST_RESULT**\\n\\nCandidate upgrades must pass source reputation, content review, permission minimization, compatibility, security, cost, maintainability, testability and sandbox verification before adoption.\\n`;\n const team=`---\\ntitle: First NCA Team\\ntype: team\\n---\\n# First NCA Team\\n\\n| Agent | Function |\\n|---|---|\\n| REM | Growth & Marketing |\\n| AGI.S | Capital, Liquidity & Market Intelligence |\\n| CLOSER | B2B Sales & Partnerships |\\n| FORGE | Product & Revenue Engineering |\\n| ATLAS | Solution Architecture & Delivery |\\n| SCOUT | Global Opportunity Intelligence |\\n| CARE | Customer Success & Account Growth |\\n| PRISM | RevOps & Financial Intelligence |\\n| LEX | Brand, Web Narrative & Claims |\\n| NEXUS | Web, Publishing & Integrations |\\n\\nAURELIUS coordinates mission flow. ORION synthesizes specialist evidence.\\n`;\n const evidence=`---\\ntitle: Evidence Status\\ntype: evidence\\ngenerated_at: \"${yamlSafe(now)}\"\\n---\\n# Evidence Status\\n\\n## Commercial truth\\n- Won deals: **${orion?.metrics?.wonDeals??0}**\\n- Verified customers: **${orion?.metrics?.verifiedCustomers??0}**\\n- Verified revenue events: **${orion?.metrics?.verifiedRevenueEvents??0}**\\n- Inbound signals: **${orion?.metrics?.inboundSignals??0}**\\n\\n## Raw live snapshot\\n~~~json\\n${fmt({aurelius:{observedAt:aurelius?.observedAt,kpis:aurelius?.kpis},orion:{observedAt:orion?.observedAt,metrics:orion?.metrics}})}\\n~~~\\n`;\n const usd=orion?.strategy?.usdReferenceLayer; const usdNote=`---\\ntitle: USD Reference Layer\\ntype: financial-architecture\\nmission_id: IC-USD-REFERENCE-LAYER-001\\ngenerated_at: \"${yamlSafe(now)}\"\\n---\\n# USD Reference & Settlement Layer\\n\\n## ORION synthesis\\n- Canonical USD reference: **${usd?.synthesis?.canonicalSettlementAsset??\"UNKNOWN\"}**\\n- NDB: **${usd?.synthesis?.NDB??\"UNKNOWN\"}**\\n- IMPERIUM: **${usd?.synthesis?.IMPERIUM??\"UNKNOWN\"}**\\n- MONARCH: **${usd?.synthesis?.MONARCH??\"UNKNOWN\"}**\\n- Execution: **${usd?.synthesis?.execution??\"NO_REAL_VALUE_ACTION_AUTHORIZED\"}**\\n\\n## Open gates\\n${(usd?.unresolved??[]).map((x:string)=>`- ${x}`).join(\"\\n\")||\"- NONE RECORDED\"}\\n\\n> USDC reference/settlement is not a fixed peg or reserve-backing claim. Real liquidity actions require the applicable approval and evidence gates.\\n`;\n const zip=new JSZip();\n zip.file(\"IMPERIAL-ORCH-001/00-HOME.md\",home);\n zip.file(\"IMPERIAL-ORCH-001/01-AURELIUS-MISSION.md\",mission);\n zip.file(\"IMPERIAL-ORCH-001/02-ORION-CONSENSUS.md\",consensus);\n zip.file(\"IMPERIAL-ORCH-001/03-NCA-TEAM.md\",team);\n zip.file(\"IMPERIAL-ORCH-001/04-EVIDENCE-STATUS.md\",evidence);\n zip.file(\"IMPERIAL-ORCH-001/05-USD-REFERENCE-LAYER.md\",usdNote);\n zip.file(\"IMPERIAL-ORCH-001/.obsidian/README.md\",\"This folder is intentionally minimal. Open IMPERIAL-ORCH-001 as an Obsidian vault.\\n\");\n const bytes=await zip.generateAsync({type:\"uint8array\",compression:\"DEFLATE\"});\n return new Response(bytes,{headers:{\"content-type\":\"application/zip\",\"content-disposition\":`attachment; filename=IMPERIAL-ORCH-001-Obsidian-${now.slice(0,10)}.zip`,\"cache-control\":\"no-store\"}});\n}",[174],"9272d02b-30dc-4e30-b891-9165ecbc5674","obsidian-bridge.ts","edde218a-a14d-11f1-9e5f-1607ee4eb77e",19,["D",1787749150042],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nfunction mdSafe(x:any){return String(x??\"\")}\nasync function latest(){\n let aurelius:any=null,orion:any=null;\n try{const q=await sqlite.execute(\"SELECT payload FROM aurelius_events WHERE kind='ORCHESTRATION_CYCLE' ORDER BY id DESC LIMIT 1\");if(q.rows?.length)aurelius=JSON.parse(String(q.rows[0].payload));}catch{}\n try{const q=await sqlite.execute(\"SELECT payload FROM cycles ORDER BY id DESC LIMIT 1\");if(q.rows?.length)orion=JSON.parse(String(q.rows[0].payload));}catch{}\n return {aurelius,orion};\n}\nfunction notes(aurelius:any,orion:any){\n const now=new Date().toISOString();\n const top5=(aurelius?.top5??[]).map((x:any,i:number)=>`${i+1}. **${x.name}** — score ${x.score} — ${x.stage}`).join(\"\\n\")||\"No active targets.\";\n const tasks=(aurelius?.tasks??[]).map((t:any)=>`- **${t.id} / ${t.owner}** — ${t.title} — \\`${t.status}\\``).join(\"\\n\")||\"No tasks.\";\n const blockers=(orion?.bottlenecks??[]).map((b:any)=>`- **${b.code}** (${b.severity}) — ${b.solution}`).join(\"\\n\")||\"No blockers.\";\n return {\n \"IMPERIAL Core/AURELIUS/Live Mission.md\":`---\\ntype: live-mission\\nupdated_at: \"${now}\"\\norchestrator: ORCH-REVENUE-001\\n---\\n# AURELIUS Live Mission\\n\\n**${mdSafe(aurelius?.mission?.objective||\"UNKNOWN\")}**\\n\\n## Top 5\\n${top5}\\n\\n## Mission graph\\n${tasks}\\n\\n## Authority\\nDomain orchestration only. Binding external commitments require the appropriate approval boundary.\\n`,\n \"IMPERIAL Core/ORION/Consensus.md\":`---\\ntype: collective-intelligence\\nupdated_at: \"${now}\"\\n---\\n# ORION Consensus\\n\\n## Bottlenecks\\n${blockers}\\n\\n## Metrics\\n- Leads: ${orion?.metrics?.leads??0}\\n- Deals: ${orion?.metrics?.deals??0}\\n- Won: ${orion?.metrics?.wonDeals??0}\\n- Verified customers: ${orion?.metrics?.verifiedCustomers??0}\\n- Verified revenue events: ${orion?.metrics?.verifiedRevenueEvents??0}\\n`,\n \"IMPERIAL Core/Evidence/Commercial Truth.md\":`---\\ntype: evidence\\nupdated_at: \"${now}\"\\n---\\n# Commercial Truth\\n\\n- Won deals: **${orion?.metrics?.wonDeals??0}**\\n- Verified customers: **${orion?.metrics?.verifiedCustomers??0}**\\n- Verified revenue events: **${orion?.metrics?.verifiedRevenueEvents??0}**\\n- Inbound signals: **${orion?.metrics?.inboundSignals??0}**\\n\\nPipeline is not revenue. Hypotheses are not verified facts.\\n`\n };\n}\nasync function putNote(base:string,key:string,path:string,content:string){\n const url=`${base.replace(/\\/$/,\"\")}/vault/${path.split(\"/\").map(encodeURIComponent).join(\"/\")}`;\n const r=await fetch(url,{method:\"PUT\",headers:{\"authorization\":`Bearer ${key}`,\"content-type\":\"text/markdown; charset=utf-8\"},body:content});\n if(!r.ok)throw new Error(`OBSIDIAN_PUT_${r.status}:${path}`);\n}\nexport default async function(_interval:Interval){\n const base=Deno.env.get(\"OBSIDIAN_REST_URL\")||\"\";\n const apiKey=Deno.env.get(\"OBSIDIAN_REST_API_KEY\")||\"\";\n if(!base||!apiKey){console.log(JSON.stringify({ok:true,bridge:\"OBSIDIAN\",state:\"PREPARED_NOT_CONNECTED\",reason:\"OBSIDIAN_REST_URL_OR_API_KEY_MISSING\",exportSurface:\"https://imperial-obsidian.val.run/\"}));return;}\n if(/127\\.0\\.0\\.1|localhost/i.test(base)){console.log(JSON.stringify({ok:false,bridge:\"OBSIDIAN\",state:\"BLOCKED_LOCALHOST_NOT_REACHABLE_FROM_SERVERLESS_RUNTIME\",reason:\"Expose the Obsidian REST endpoint through a trusted private HTTPS route or use Obsidian Headless on a host with vault access.\"}));return;}\n const {aurelius,orion}=await latest();\n const bundle=notes(aurelius,orion); const written:string[]=[];\n for(const [path,content] of Object.entries(bundle)){await putNote(base,apiKey,path,content);written.push(path)}\n console.log(JSON.stringify({ok:true,bridge:\"OBSIDIAN\",state:\"SYNCED\",written,observedAt:new Date().toISOString()}));\n}",[182],"a43ef45b-45e1-48f9-b556-cca2c749e057",["D",1787760086469],[27],"66e28f06-9c4f-4e10-8fe4-64219bb7a9cf","fable5-quality-status.ts","12738c6c-a165-11f1-a1ba-1607ee4eb77e",46,["D",1787759089842],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nexport default async function(){\n try{\n const q=await sqlite.execute(\"SELECT observed_at,state,payload FROM fable5_quality_reviews ORDER BY id DESC LIMIT 1\");\n if(!q.rows?.length)return Response.json({service:\"AURELIUS Fable 5 Quality Gate\",state:\"NO_REVIEW_ATTEMPT\",model:\"claude-fable-5\"},{status:503});\n const p=JSON.parse(String(q.rows[0].payload));\n return Response.json({service:\"AURELIUS Fable 5 Quality Gate\",state:q.rows[0].state,model:p.model??\"claude-fable-5\",authority:p.authority??\"ADVISORY_ONLY\",officialSource:p.officialSource??null,verdict:p.review?.verdict??null,reputationRisk:p.review?.reputationRisk??null,blocker:q.rows[0].state===\"BLOCKED_MISSING_ANTHROPIC_API_KEY\"?\"ANTHROPIC_API_KEY_REQUIRED_FOR_ACTUAL_FABLE5_CALL\":null,truthBoundary:\"OFFICIAL_SKILL_SOURCE_VERIFIED; MODEL_REVIEW_IS_NOT_CLAIMED_UNLESS_API_EXECUTION_SUCCEEDS\",latestObservedAt:q.rows[0].observed_at},{headers:{\"cache-control\":\"no-store\"}});\n }catch(e){return Response.json({service:\"AURELIUS Fable 5 Quality Gate\",state:\"ERROR\",error:String(e)},{status:500})}\n}\n","imperial-fable5-quality",[192],"298b8e62-d05c-46d5-9d3d-024f9ad219b8","fable5-quality-gate.ts","eec13478-a163-11f1-918c-1607ee4eb77e",35,["D",1787758600456],"import Anthropic from \"npm:@anthropic-ai/sdk\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst MODEL=\"claude-fable-5\";\nconst HUB=\"https://imperial-agent-dealroom.val.run/\";\nconst SOURCE_COMMIT=\"3b3fad96af16a10759d930941b4520ba0c40edae\";\nfunction key(){return Deno.env.get(\"ORION_LINK_KEY\")||\"\"}\nasync function hubPost(body:any){\n const r=await fetch(HUB,{method:\"POST\",headers:{\"content-type\":\"application/json\",\"x-imperial-agent-key\":key()},body:JSON.stringify(body)});\n if(!r.ok)throw new Error(`HUB_POST_${r.status}:${await r.text()}`);\n return await r.json();\n}\nfunction parseJsonText(text:string){\n const cleaned=text.trim().replace(/^```(?:json)?\\s*/i,\"\").replace(/\\s*```$/i,\"\");\n try{return JSON.parse(cleaned)}catch{return {verdict:\"UNPARSED\",raw:text.slice(0,12000)}}\n}\nasync function latestLocal(table:string,where=\"\"){\n try{const q=await sqlite.execute(`SELECT observed_at,payload FROM ${table} ${where} ORDER BY id DESC LIMIT 1`);return q.rows?.length?JSON.parse(String(q.rows[0].payload)):null}catch{return null}\n}\n\nexport default async function(_interval:Interval){\n const observedAt=new Date().toISOString();\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS fable5_quality_reviews(id INTEGER PRIMARY KEY AUTOINCREMENT,observed_at TEXT NOT NULL,state TEXT NOT NULL,digest TEXT NOT NULL,payload TEXT NOT NULL)\");\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS fable5_quality_state(key TEXT PRIMARY KEY,value TEXT NOT NULL)\");\n const [aurelius,orion,professionalization]=await Promise.all([\n latestLocal(\"aurelius_events\",\"WHERE kind='ORCHESTRATION_CYCLE'\"),\n latestLocal(\"cycles\"),\n latestLocal(\"professionalization_cycles\")\n ]);\n const reviewInput={\n mission:aurelius?.mission??null,\n kpis:aurelius?.kpis??null,\n top5:(aurelius?.top5??[]).map((x:any)=>({name:x.name,stage:x.stage,score:x.score,sourceUrl:x.sourceUrl})),\n bottlenecks:(orion?.bottlenecks??[]).map((x:any)=>({code:x.code,severity:x.severity,owner:x.owner,solution:x.solution})),\n publicNarrative:orion?.strategy?.publicNarrative??null,\n usdReferenceLayer:orion?.strategy?.usdReferenceLayer?{status:orion.strategy.usdReferenceLayer.status,synthesis:orion.strategy.usdReferenceLayer.synthesis,unresolved:orion.strategy.usdReferenceLayer.unresolved}:null,\n professionalization:professionalization?{selectionPolicy:professionalization.selectionPolicy,currentMetrics:professionalization.currentMetrics,gaps:(professionalization.gaps??[]).map((x:any)=>({code:x.code,metric:x.metric,plugins:x.plugins}))}:null,\n truthBoundaries:[\n \"Architecture is not implementation, runtime verification, production readiness or market adoption.\",\n \"Pipeline is not revenue.\",\n \"Installed ChatGPT plugin is not direct Val Town runtime binding.\",\n \"No private messages, secrets, credentials or customer PII are included in this review input.\"\n ]\n };\n const digest=JSON.stringify(reviewInput);\n const dq=await sqlite.execute(\"SELECT value FROM fable5_quality_state WHERE key='last_digest'\");\n const changed=String(dq.rows?.[0]?.value||\"\")!==digest;\n const apiKey=Deno.env.get(\"ANTHROPIC_API_KEY\")||\"\";\n if(!apiKey){\n const payload={schema:\"ic.fable5.quality-gate.v1\",observedAt,state:\"BLOCKED_MISSING_ANTHROPIC_API_KEY\",model:MODEL,officialSource:{repository:\"anthropics/skills\",commit:SOURCE_COMMIT,skill:\"skills/claude-api/SKILL.md\"},changed,reviewInputSummary:{mission:reviewInput.mission,kpis:reviewInput.kpis,bottlenecks:reviewInput.bottlenecks.map((x:any)=>x.code)},authority:\"ADVISORY_ONLY\",realWorldActions:0};\n await sqlite.execute({sql:\"INSERT INTO fable5_quality_reviews(observed_at,state,digest,payload) VALUES(?,?,?,?)\",args:[observedAt,payload.state,digest,JSON.stringify(payload)]});\n console.log(JSON.stringify({ok:true,...payload}));\n return;\n }\n if(!changed){\n console.log(JSON.stringify({ok:true,observedAt,state:\"SKIPPED_NO_MATERIAL_CHANGE\",model:MODEL,realWorldActions:0}));\n return;\n }\n const client=new Anthropic({apiKey});\n const system=`You are an independent professional quality reviewer for a governed multi-agent business system. Protect factual accuracy, professional reputation, security/privacy boundaries and evidence discipline. You are advisory only. Never invent customers, revenue, adoption, audits, listings, partnerships or legal conclusions. Never recommend bypassing approvals. Architecture is not implementation; pipeline is not revenue. Return JSON only.`;\n const user=`Review this SANITIZED system snapshot. Find the highest-impact corrections, not cosmetic criticism. Evaluate factuality, claims discipline, security/privacy, professional quality, commercial clarity and reputation risk.\\n\\nReturn exactly these top-level keys: verdict, reputationRisk, factuality, claims, securityPrivacy, professionalQuality, commercialClarity, blockers, requiredCorrections, bestNextAction, evidenceGaps. verdict must be PASS, PASS_WITH_CORRECTIONS, or BLOCK. reputationRisk must be LOW, MEDIUM, HIGH, or CRITICAL.\\n\\nSNAPSHOT:\\n${JSON.stringify(reviewInput)}`;\n try{\n const response:any=await client.messages.create({model:MODEL,max_tokens:4000,thinking:{type:\"adaptive\"},output_config:{effort:\"high\"},system,messages:[{role:\"user\",content:user}]});\n const text=(response.content??[]).filter((b:any)=>b.type===\"text\").map((b:any)=>b.text).join(\"\\n\").trim();\n const review=parseJsonText(text);\n const state=review?.verdict===\"BLOCK\"?\"BLOCK\":review?.verdict===\"PASS\"?\"PASS\":\"PASS_WITH_CORRECTIONS\";\n const payload={schema:\"ic.fable5.quality-gate.v1\",observedAt,state,model:MODEL,officialSource:{repository:\"anthropics/skills\",commit:SOURCE_COMMIT,skill:\"skills/claude-api/SKILL.md\"},review,usage:response.usage??null,stopReason:response.stop_reason??null,authority:\"ADVISORY_ONLY\",realWorldActions:0};\n await sqlite.execute({sql:\"INSERT INTO fable5_quality_reviews(observed_at,state,digest,payload) VALUES(?,?,?,?)\",args:[observedAt,state,digest,JSON.stringify(payload)]});\n await sqlite.execute({sql:\"INSERT INTO fable5_quality_state(key,value) VALUES('last_digest',?) ON CONFLICT(key) DO UPDATE SET value=excluded.value\",args:[digest]});\n await hubPost({action:\"message\",sender:\"AURELIUS\",recipient:\"ORION\",kind:\"FABLE5_QUALITY_REVIEW\",priority:state===\"BLOCK\"?\"HIGH\":\"NORMAL\",payload:{observedAt,model:MODEL,state,review,authority:\"ADVISORY_ONLY\",sourceCommit:SOURCE_COMMIT}});\n for(const recipient of [\"LEX\",\"REM\",\"NEXUS\",\"CLOSER\",\"PRISM\"]){await hubPost({action:\"message\",sender:\"AURELIUS\",recipient,kind:\"REPUTATION_QUALITY_GATE\",priority:state===\"BLOCK\"?\"HIGH\":\"NORMAL\",payload:{observedAt,model:MODEL,state,requiredCorrections:review.requiredCorrections??[],bestNextAction:review.bestNextAction??null,evidenceGaps:review.evidenceGaps??[],authority:\"ADVISORY_ONLY\"}})}\n console.log(JSON.stringify({ok:true,observedAt,state,model:MODEL,verdict:review.verdict??null,reputationRisk:review.reputationRisk??null,stopReason:payload.stopReason,realWorldActions:0}));\n }catch(e){\n const payload={schema:\"ic.fable5.quality-gate.v1\",observedAt,state:\"FABLE5_API_ERROR\",model:MODEL,error:String(e),authority:\"ADVISORY_ONLY\",realWorldActions:0};\n await sqlite.execute({sql:\"INSERT INTO fable5_quality_reviews(observed_at,state,digest,payload) VALUES(?,?,?,?)\",args:[observedAt,payload.state,digest,JSON.stringify(payload)]});\n console.log(JSON.stringify({ok:false,...payload}));\n }\n}\n",[200],"01d7deb9-02ee-49a8-9255-1d4d5493c2fc","aurelius-status.ts","7969d0b6-a14c-11f1-b809-1607ee4eb77e",39,["D",1787758685320],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nexport default async function(){\n let latest:any=null; let tasks:any[]=[]; let professionalization:any=null; let fable5:any=null;\n try{const q=await sqlite.execute(\"SELECT observed_at,payload FROM aurelius_events WHERE kind='ORCHESTRATION_CYCLE' ORDER BY id DESC LIMIT 1\"); if(q.rows?.length) latest=JSON.parse(String(q.rows[0].payload));}catch{}\n try{const q=await sqlite.execute(\"SELECT id,owner,title,status,priority,depends_on,payload,updated_at FROM aurelius_tasks ORDER BY id\"); tasks=(q.rows??[]).map((r:any)=>({id:r.id,owner:r.owner,title:r.title,status:r.status,priority:r.priority,dependsOn:JSON.parse(String(r.depends_on||'[]')),updatedAt:r.updated_at}));}catch{}\n try{const q=await sqlite.execute(\"SELECT observed_at,payload FROM professionalization_cycles ORDER BY id DESC LIMIT 1\"); if(q.rows?.length){const p=JSON.parse(String(q.rows[0].payload));professionalization={mode:p.mode,selectionPolicy:p.selectionPolicy,currentMetrics:p.currentMetrics,gaps:(p.gaps??[]).map((x:any)=>({code:x.code,targetMetric:x.metric,preferredPlugins:x.plugins,owners:x.owners})),plugins:Object.fromEntries(Object.entries(p.plugins??{}).map(([name,v]:any)=>[name,{state:v.state,owners:v.owners,runtimeBinding:v.runtimeBinding}])),gate:p.gate,latestObservedAt:q.rows[0].observed_at};}}catch{}\n try{const q=await sqlite.execute(\"SELECT observed_at,state,payload FROM fable5_quality_reviews ORDER BY id DESC LIMIT 1\"); if(q.rows?.length){const p=JSON.parse(String(q.rows[0].payload));fable5={model:p.model??\"claude-fable-5\",state:q.rows[0].state,authority:p.authority??\"ADVISORY_ONLY\",officialSource:p.officialSource??null,verdict:p.review?.verdict??null,reputationRisk:p.review?.reputationRisk??null,latestObservedAt:q.rows[0].observed_at};}}catch{}\n return Response.json({service:\"AURELIUS ORCH-001\",state:latest?\"ACTIVE_CONTROLLED_PILOT\":\"BOOTSTRAPPING\",domain:\"REVENUE_GROWTH_TEAM\",authority:\"DOMAIN_ORCHESTRATION_ONLY\",architectFinalAuthority:true,orionRole:\"COLLECTIVE_INTELLIGENCE_ADVISORY\",mission:latest?.mission??null,top5:latest?.top5??[],kpis:latest?.kpis??{},tasks,professionalization,fable5QualityGate:fable5,truthBoundary:\"MISSION_COORDINATION_IS_NOT_EXTERNAL_COMMITMENT_AUTHORITY; CHATGPT_PLUGIN_ENABLED_DOES_NOT_EQUAL_DIRECT_VALTOWN_RUNTIME_BINDING; FABLE5_REVIEW_IS_ADVISORY_AND_MUST_BE_FACTUALLY_EXECUTED_NOT_CLAIMED\",latestObservedAt:latest?.observedAt??null});\n}","imperial-aurelius",[207],"3f2a73a3-243b-4a65-ac2f-6efe21a5e121","aurelius-professionalization.ts","413c638c-a162-11f1-9b64-1607ee4eb77e",40,["D",1787758703085],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst HUB=\"https://imperial-agent-dealroom.val.run/\";\nconst SYSTEM=\"AURELIUS\";\nconst ORCH_ID=\"ORCH-REVENUE-001\";\nfunction key(){return Deno.env.get(\"ORION_LINK_KEY\")||\"\"}\nasync function hubGet(){const r=await fetch(HUB,{headers:{\"x-imperial-agent-key\":key(),\"user-agent\":\"AURELIUS-PROFESSIONALIZATION\"}});if(!r.ok)throw new Error(`HUB_GET_${r.status}`);return await r.json()}\nasync function hubPost(body:any){const r=await fetch(HUB,{method:\"POST\",headers:{\"content-type\":\"application/json\",\"x-imperial-agent-key\":key()},body:JSON.stringify(body)});if(!r.ok)throw new Error(`HUB_POST_${r.status}`);return await r.json()}\nfunction stage(x:any){return String(x?.stage??x?.status??\"\").toUpperCase()}\nconst PLUGINS:any={\n HubSpot:{state:\"INSTALLED_ENABLED_USER_AUTHORIZED_VERIFIED\",owners:[\"CLOSER\",\"CARE\",\"PRISM\",\"NEXUS\"],purpose:\"CRM, pipeline/customer lifecycle and handoff truth\",runtimeBinding:\"NOT_EXPOSED_IN_CURRENT_VALTOWN_RUNTIME\"},\n \"Apollo.io\":{state:\"INSTALLED_ENABLED_USER_AUTHORIZED_VERIFIED\",owners:[\"SCOUT\",\"CLOSER\",\"REM\"],purpose:\"buyer/account intelligence and contact-route discovery\",runtimeBinding:\"NOT_EXPOSED_IN_CURRENT_VALTOWN_RUNTIME\"},\n PostHog:{state:\"INSTALLED_ENABLED_USER_AUTHORIZED_VERIFIED\",owners:[\"NEXUS\",\"REM\",\"PRISM\",\"FORGE\"],purpose:\"funnel/product analytics, events and experimentation\",runtimeBinding:\"NOT_EXPOSED_IN_CURRENT_VALTOWN_RUNTIME\"},\n Semrush:{state:\"INSTALLED_ENABLED_USER_AUTHORIZED_VERIFIED\",owners:[\"REM\",\"LEX\",\"NEXUS\",\"SCOUT\"],purpose:\"SEO, keyword and competitive traffic research\",runtimeBinding:\"NOT_EXPOSED_IN_CURRENT_VALTOWN_RUNTIME\"}\n};\n\nfunction gaps(data:any){\n const deals=Array.isArray(data.deals)?data.deals:[];\n const messages=Array.isArray(data.messages)?data.messages:[];\n const customers=Array.isArray(data.customerAccounts)?data.customerAccounts:[];\n const won=deals.filter((d:any)=>[\"WON\",\"CLOSED_WON\",\"CONTRACTED\",\"PAID\",\"ACTIVE_CUSTOMER\"].includes(stage(d))).length;\n const inbound=messages.filter((m:any)=>[\"INBOUND_PRODUCT_LEAD\",\"CUSTOMER_REPLY\",\"CUSTOMER_FEEDBACK\",\"INVESTOR_REPLY\"].includes(String(m.kind))).length;\n const out:any[]=[];\n if(inbound===0)out.push({code:\"NO_VERIFIED_INBOUND\",metric:\"verified inbound\",plugins:[\"Semrush\",\"PostHog\"],skillQueries:[\"SEO competitive intelligence and technical content strategy\",\"conversion analytics instrumentation and experiment design\"],owners:[\"REM\",\"LEX\",\"NEXUS\",\"PRISM\"]});\n if(deals.length>0&&won===0)out.push({code:\"PIPELINE_WITHOUT_WON\",metric:\"reply-to-meeting-to-won conversion\",plugins:[\"HubSpot\",\"Apollo.io\"],skillQueries:[\"B2B account research MEDDICC discovery and buyer qualification\",\"CRM pipeline hygiene and sales handoff automation\"],owners:[\"SCOUT\",\"CLOSER\",\"PRISM\",\"NEXUS\"]});\n if(customers.length===0)out.push({code:\"NO_VERIFIED_CUSTOMER\",metric:\"customer activation\",plugins:[\"HubSpot\"],skillQueries:[\"customer onboarding success planning and verified handoff\"],owners:[\"CLOSER\",\"CARE\",\"PRISM\"]});\n return {deals:deals.length,won,inbound,customers:customers.length,out};\n}\n\nexport default async function(_interval:Interval){\n const observedAt=new Date().toISOString();\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS professionalization_cycles(id INTEGER PRIMARY KEY AUTOINCREMENT,observed_at TEXT NOT NULL,payload TEXT NOT NULL)\");\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS professionalization_state(key TEXT PRIMARY KEY,value TEXT NOT NULL)\");\n const data=await hubGet();\n const g=gaps(data);\n const plan={schema:\"ic.aurelius.professionalization.v2\",observedAt,orchestrator:ORCH_ID,mode:\"CONTINUOUS_CAPABILITY_GAP_DISCOVERY\",selectionPolicy:\"BEST_AVAILABLE_EVIDENCE_NOT_FIRST_RESULT\",officialSkillMethod:{source:\"anthropics/skills\",commit:\"3b3fad96af16a10759d930941b4520ba0c40edae\",skill:\"skill-creator\",policy:\"BASELINE_VS_WITH_SKILL_EVALUATION\",minimumEvals:3,retentionRule:\"PERMANENT_ADOPTION_REQUIRES_MEASURED_IMPROVEMENT\"},currentMetrics:{deals:g.deals,wonDeals:g.won,inboundSignals:g.inbound,verifiedCustomers:g.customers},plugins:PLUGINS,gaps:g.out,gate:[\"SOURCE_REPUTATION\",\"CONTENT_REVIEW\",\"PERMISSION_MINIMIZATION\",\"DUPLICATE_CHECK\",\"TASK_FIT\",\"COMPATIBILITY\",\"SECURITY\",\"PRIVACY\",\"COST\",\"MAINTAINABILITY\",\"TESTABILITY\",\"BASELINE_TEST\",\"WITH_SKILL_TEST\",\"MEASURED_IMPROVEMENT\",\"ADOPT_OR_REJECT\"],rules:[\"Search existing capabilities before adding tools\",\"Use find-skills only for a defined capability gap\",\"Plugin popularity is not evidence of task fit\",\"For skills, compare baseline/current capability against with-skill on realistic evals before permanent adoption\",\"Adopt only if a mission KPI or evidence quality measurably improves\",\"ChatGPT plugin availability does not imply direct Val Town runtime binding\",\"No secrets or private customer data in public runtime code\",\"No unsolicited mass outreach\"]};\n const digest=JSON.stringify({metrics:plan.currentMetrics,gaps:plan.gaps.map((x:any)=>x.code)});\n const q=await sqlite.execute(\"SELECT value FROM professionalization_state WHERE key='digest'\");\n const changed=String(q.rows?.[0]?.value||\"\")!==digest;\n if(changed){\n for(const gap of plan.gaps){\n for(const owner of gap.owners){\n await hubPost({action:\"message\",sender:SYSTEM,recipient:owner,kind:\"CAPABILITY_UPGRADE_TASK\",priority:\"HIGH\",payload:{observedAt,orchestrator:ORCH_ID,gap:gap.code,targetMetric:gap.metric,preferredPlugins:gap.plugins,skillDiscoveryQueries:gap.skillQueries,selectionPolicy:plan.selectionPolicy,gate:plan.gate,instruction:\"Use existing capabilities first. If insufficient, evaluate skill/plugin candidates and return ADOPT/PILOT/REJECT/NO_UPGRADE_JUSTIFIED with evidence. Do not claim a ChatGPT plugin is directly callable from Val Town unless runtime binding is separately verified.\"}});\n }\n }\n await hubPost({action:\"message\",sender:SYSTEM,recipient:\"ORION\",kind:\"PROFESSIONALIZATION_BRIEF\",priority:\"HIGH\",payload:{observedAt,plan,request:\"Synthesize capability upgrades against current mission bottlenecks. Prefer fewer higher-quality tools with measurable improvement over broad tool accumulation.\"}});\n await sqlite.execute({sql:\"INSERT INTO professionalization_state(key,value) VALUES('digest',?) ON CONFLICT(key) DO UPDATE SET value=excluded.value\",args:[digest]});\n }\n await sqlite.execute({sql:\"INSERT INTO professionalization_cycles(observed_at,payload) VALUES(?,?)\",args:[observedAt,JSON.stringify(plan)]});\n console.log(JSON.stringify({ok:true,observedAt,orchestrator:ORCH_ID,changed,currentMetrics:plan.currentMetrics,gaps:plan.gaps.map((x:any)=>x.code),plugins:Object.entries(PLUGINS).map(([name,v]:any)=>({name,state:v.state,runtimeBinding:v.runtimeBinding}))}));\n}",[215],"fcaa367b-88bc-4fc6-9a28-388714b7f640","aurelius-cycle.ts","62d16620-a14c-11f1-99f4-1607ee4eb77e",44,["D",1787758986245],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst HUB = \"https://imperial-agent-dealroom.val.run/\";\nconst SYSTEM = \"AURELIUS\";\nconst ORCH_ID = \"ORCH-REVENUE-001\";\nconst MISSION_ID = \"MISSION-FIRST-VERIFIED-CUSTOMER-REVENUE-001\";\nconst TEAM = [\"REM\",\"AGI.S\",\"CLOSER\",\"FORGE\",\"ATLAS\",\"SCOUT\",\"CARE\",\"PRISM\",\"LEX\",\"NEXUS\"];\n\nfunction key(){ return Deno.env.get(\"ORION_LINK_KEY\") || \"\"; }\nasync function hubGet(){\n const r = await fetch(HUB,{headers:{\"x-imperial-agent-key\":key(),\"user-agent\":\"AURELIUS-ORCH-REVENUE-001\"}});\n if(!r.ok) throw new Error(`HUB_GET_${r.status}`);\n return await r.json();\n}\nasync function hubPost(body:any){\n const r = await fetch(HUB,{method:\"POST\",headers:{\"content-type\":\"application/json\",\"x-imperial-agent-key\":key()},body:JSON.stringify(body)});\n if(!r.ok) throw new Error(`HUB_POST_${r.status}:${await r.text()}`);\n return await r.json();\n}\nfunction parse(x:any){ try{return JSON.parse(String(x??\"{}\"))}catch{return {raw:String(x??\"\")}} }\nfunction score(x:any){ return Number(x?.score ?? x?.qualification_score ?? x?.priority_score ?? 0) || 0; }\nfunction nameOf(x:any){ return String(x?.account ?? x?.name ?? x?.title ?? x?.org ?? x?.company ?? x?.id ?? \"UNKNOWN\"); }\nfunction stageOf(x:any){ return String(x?.stage ?? x?.status ?? \"UNKNOWN\").toUpperCase(); }\nfunction pickTop5(data:any,previous:any[]=[]){\n const deals = Array.isArray(data.deals) ? data.deals : [];\n const opps = Array.isArray(data.opportunities) ? data.opportunities : [];\n const rows = [...deals.map((x:any)=>({...x,_kind:\"DEAL\"})), ...opps.map((x:any)=>({...x,_kind:\"OPPORTUNITY\"}))]\n .filter((x:any)=>![\"LOST\",\"CLOSED_LOST\",\"REJECTED\",\"ARCHIVED\"].includes(stageOf(x)))\n .sort((a:any,b:any)=>score(b)-score(a));\n const ranked:any[]=[]; const rankedSeen=new Set();\n for(const x of rows){const n=nameOf(x);if(!n||rankedSeen.has(n))continue;rankedSeen.add(n);ranked.push({name:n,kind:x._kind,score:score(x),stage:stageOf(x),sourceUrl:x.url??x.source_url??null,nextAction:x.next_action??x.nextAction??null});}\n const byName=new Map(ranked.map(x=>[x.name,x]));\n const out:any[]=[]; const seen=new Set();\n for(const p of previous){const x=byName.get(String(p?.name));if(x&&!seen.has(x.name)){seen.add(x.name);out.push(x)}if(out.length===5)break;}\n for(const x of ranked){if(out.length>=5)break;if(seen.has(x.name))continue;seen.add(x.name);out.push(x);}\n for(const challenger of ranked){\n if(seen.has(challenger.name)||out.length<5)continue;\n let minIdx=0;for(let i=1;iout[minIdx].score){seen.delete(out[minIdx].name);out[minIdx]=challenger;seen.add(challenger.name);}\n }\n return out.sort((a,b)=>b.score-a.score);\n}\nfunction taskGraph(top5:any[], consensus:any, data:any){\n const customers = Array.isArray(data.customerAccounts) ? data.customerAccounts : [];\n const won = (Array.isArray(data.deals)?data.deals:[]).filter((d:any)=>[\"WON\",\"CLOSED_WON\",\"CONTRACTED\",\"PAID\",\"ACTIVE_CUSTOMER\"].includes(stageOf(d)));\n const customerActive = customers.length>0 || won.length>0;\n const targets = top5.map(x=>x.name);\n return [\n {id:\"T01\",owner:\"SCOUT\",title:\"Maintain Top-5 opportunity shortlist\",status:targets.length?\"ACTIVE\":\"BLOCKED_NO_CANDIDATES\",priority:\"P0\",dependsOn:[],instruction:\"Keep no more than five active opportunities. Re-verify need, official business route, decision-maker access, urgency and fit. Replace a target only when evidence shows a better candidate.\",targets},\n {id:\"T02\",owner:\"LEX\",title:\"Account-specific evidence positioning\",status:targets.length?\"ACTIVE\":\"WAITING\",priority:\"P0\",dependsOn:[\"T01\"],instruction:\"For each Top-5 target, produce an evidence-backed problem/value hypothesis, claim ledger, strongest headline and explicit reason to talk. No generic superiority claims.\",targets},\n {id:\"T03\",owner:\"ATLAS\",title:\"Account-specific solution hypothesis\",status:targets.length?\"ACTIVE\":\"WAITING\",priority:\"P0\",dependsOn:[\"T01\"],instruction:\"Map each Top-5 target to one concrete deliverable, acceptance criteria, likely architecture/security gap and discovery questions. Do not fabricate internal customer problems.\",targets},\n {id:\"T04\",owner:\"NEXUS\",title:\"Conversion surface and handoff readiness\",status:targets.length?\"ACTIVE\":\"WAITING\",priority:\"P1\",dependsOn:[\"T02\"],instruction:\"Keep one fast, credible landing/conversion surface and platform-native assets ready for the Top-5. Optimize measurable response, not page count.\",targets},\n {id:\"T11\",owner:\"LEX\",title:\"Reputation and claims quality gate\",status:targets.length?\"ACTIVE\":\"WAITING\",priority:\"P0\",dependsOn:[\"T02\",\"T04\"],instruction:\"Before external-facing use, classify every material claim, verify evidence provenance, remove unsupported superiority/adoption/listing/audit/partnership implications, check public/private boundary, and record PASS/PASS_WITH_CORRECTIONS/BLOCK. Use the Anthropic official-skill quality framework. Treat Claude Fable 5 as an advisory second reviewer only when ANTHROPIC_API_KEY is actually configured; never fabricate a Fable review.\",targets},\n {id:\"T05\",owner:\"REM\",title:\"Focused demand and outreach assets\",status:targets.length?\"ACTIVE\":\"WAITING\",priority:\"P0\",dependsOn:[\"T02\",\"T04\",\"T11\"],instruction:\"Concentrate distribution on the strongest evidence-backed messages for the Top-5. Use only materials that passed the reputation/claims gate. Measure real replies/clicks/qualified conversations instead of content volume.\",targets},\n {id:\"T06\",owner:\"CLOSER\",title:\"Move Top-5 to discovery\",status:targets.length?\"ACTIVE\":\"WAITING\",priority:\"P0\",dependsOn:[\"T02\",\"T03\",\"T05\"],instruction:\"Work no more than five active accounts. Seek a genuine one-to-one discovery conversation and move only evidence-backed opportunities to MEETING/PROPOSAL/NEGOTIATION. No binding commitments without approval.\",targets},\n {id:\"T07\",owner:\"FORGE\",title:\"Optimize offers from objections\",status:\"ACTIVE\",priority:\"P1\",dependsOn:[\"T06\"],instruction:\"Do not add generic offers. Update the existing three offers only from observed objections, explicit problem signals and willingness-to-pay evidence.\"},\n {id:\"T08\",owner:\"PRISM\",title:\"Measure verified conversion and revenue\",status:\"ACTIVE\",priority:\"P0\",dependsOn:[],instruction:\"Keep pipeline separate from revenue. Report reply→meeting→proposal→won conversion and create revenue metrics only from verified monetary evidence.\"},\n {id:\"T09\",owner:\"CARE\",title:\"Activate customer success after verified customer event\",status:customerActive?\"ACTIVE\":\"BLOCKED_UNTIL_VERIFIED_CUSTOMER\",priority:\"P1\",dependsOn:[\"T06\"],instruction:\"Do not treat prospects as customers. Activate onboarding, health, retention and expansion only after a verified customer event.\"},\n {id:\"T10\",owner:\"AGI.S\",title:\"Parallel capital and liquidity intelligence\",status:\"ACTIVE_PARALLEL\",priority:\"P1\",dependsOn:[],instruction:\"Continue primary-source capital/liquidity qualification. Preserve human signing boundary and do not promise financing, liquidity, returns or execution.\"}\n ];\n}\nasync function ensureSchema(){\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS aurelius_missions(id TEXT PRIMARY KEY, objective TEXT NOT NULL, status TEXT NOT NULL, created_at TEXT NOT NULL, updated_at TEXT NOT NULL)\");\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS aurelius_tasks(id TEXT PRIMARY KEY, mission_id TEXT NOT NULL, owner TEXT NOT NULL, title TEXT NOT NULL, status TEXT NOT NULL, priority TEXT NOT NULL, depends_on TEXT NOT NULL, payload TEXT NOT NULL, updated_at TEXT NOT NULL)\");\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS aurelius_events(id INTEGER PRIMARY KEY AUTOINCREMENT, observed_at TEXT NOT NULL, kind TEXT NOT NULL, payload TEXT NOT NULL)\");\n await sqlite.execute(\"CREATE TABLE IF NOT EXISTS aurelius_state(key TEXT PRIMARY KEY,value TEXT NOT NULL)\");\n}\n\nexport default async function(_interval:Interval){\n const observedAt = new Date().toISOString();\n await ensureSchema();\n const data = await hubGet();\n let consensus:any = {}; let previousTop5:any[]=[];\n try{ const q=await sqlite.execute(\"SELECT payload FROM cycles ORDER BY id DESC LIMIT 1\"); consensus=parse(q.rows?.[0]?.payload); }catch{}\n try{ const q=await sqlite.execute(\"SELECT payload FROM aurelius_events WHERE kind='ORCHESTRATION_CYCLE' ORDER BY id DESC LIMIT 1\"); const p=parse(q.rows?.[0]?.payload); previousTop5=Array.isArray(p?.top5)?p.top5:[]; }catch{}\n const top5 = pickTop5(data,previousTop5);\n const tasks = taskGraph(top5,consensus,data);\n const objective = \"FIRST_VERIFIED_CUSTOMER -> FIRST_VERIFIED_REVENUE\";\n await sqlite.execute({sql:\"INSERT INTO aurelius_missions(id,objective,status,created_at,updated_at) VALUES(?,?,?, ?, ?) ON CONFLICT(id) DO UPDATE SET objective=excluded.objective,status=excluded.status,updated_at=excluded.updated_at\",args:[MISSION_ID,objective,\"ACTIVE\",observedAt,observedAt]});\n for(const t of tasks){\n await sqlite.execute({sql:\"INSERT INTO aurelius_tasks(id,mission_id,owner,title,status,priority,depends_on,payload,updated_at) VALUES(?,?,?,?,?,?,?,?,?) ON CONFLICT(id) DO UPDATE SET owner=excluded.owner,title=excluded.title,status=excluded.status,priority=excluded.priority,depends_on=excluded.depends_on,payload=excluded.payload,updated_at=excluded.updated_at\",args:[t.id,MISSION_ID,t.owner,t.title,t.status,t.priority,JSON.stringify(t.dependsOn??[]),JSON.stringify(t),observedAt]});\n }\n const critical = tasks.filter(t=>t.priority===\"P0\" && String(t.status).startsWith(\"ACTIVE\"));\n const digest = JSON.stringify({top5:top5.map(x=>[x.name,x.score,x.stage]),critical:critical.map(t=>[t.id,t.owner,t.status]),bottlenecks:(consensus?.bottlenecks??[]).map((x:any)=>x.code)});\n const sq = await sqlite.execute(\"SELECT value FROM aurelius_state WHERE key='last_digest'\");\n const changed = String(sq.rows?.[0]?.value||\"\") !== digest;\n if(changed){\n for(const t of tasks){\n if(!String(t.status).startsWith(\"ACTIVE\")) continue;\n await hubPost({action:\"message\",sender:SYSTEM,recipient:t.owner,kind:\"ORCH_TASK\",priority:t.priority===\"P0\"?\"HIGH\":\"NORMAL\",payload:{orchestrator:ORCH_ID,missionId:MISSION_ID,objective,taskId:t.id,title:t.title,instruction:t.instruction,targets:t.targets??[],dependencies:t.dependsOn??[],status:t.status,orionConsensusBottlenecks:consensus?.bottlenecks??[],authority:\"DOMAIN_ORCHESTRATION_ONLY\",rule:\"Optimize verified mission flow, not activity volume. Return evidence and next-blocker to ORION/Dealroom.\"}});\n }\n await sqlite.execute({sql:\"INSERT INTO aurelius_state(key,value) VALUES('last_digest',?) ON CONFLICT(key) DO UPDATE SET value=excluded.value\",args:[digest]});\n }\n const snapshot={schema:\"ic.aurelius.orchestrator.v1\",observedAt,orchestrator:ORCH_ID,domain:\"REVENUE_GROWTH_TEAM\",mission:{id:MISSION_ID,objective,status:\"ACTIVE\"},top5,tasks,orion:{mode:consensus?.mode??\"UNKNOWN\",bottlenecks:consensus?.bottlenecks??[]},kpis:{activeTargets:top5.length,activeP0Tasks:critical.length,wonDeals:consensus?.metrics?.wonDeals??0,verifiedCustomers:consensus?.metrics?.verifiedCustomers??0,verifiedRevenueEvents:consensus?.metrics?.verifiedRevenueEvents??0},authority:\"DOMAIN_ORCHESTRATION_ONLY\",architectFinalAuthority:true,truthBoundary:\"MISSION_COORDINATION_IS_NOT_EXTERNAL_COMMITMENT_AUTHORITY\"};\n await sqlite.execute({sql:\"INSERT INTO aurelius_events(observed_at,kind,payload) VALUES(?,?,?)\",args:[observedAt,\"ORCHESTRATION_CYCLE\",JSON.stringify(snapshot)]});\n console.log(JSON.stringify({ok:true,observedAt,orchestrator:ORCH_ID,mission:MISSION_ID,changed,top5:top5.map(x=>x.name),activeP0Tasks:critical.map(t=>`${t.id}:${t.owner}`),kpis:snapshot.kpis}));\n}",[222],"402db1da-1bf8-439c-84a0-84ba74b7a641","aurelius-capability-registry.json","ca43336a-a14c-11f1-aebd-1607ee4eb77e",36,["D",1787758637792],2,"{\n \"schema\": \"ic.aurelius.capability-registry.v2\",\n \"orchestrator\": \"ORCH-REVENUE-001\",\n \"name\": \"AURELIUS\",\n \"domain\": \"REVENUE_GROWTH_TEAM\",\n \"autonomyTargetPct\": 90,\n \"authority\": \"DOMAIN_ORCHESTRATION_ONLY\",\n \"laws\": [\n \"IDENTITY_NE_AUTHORITY\",\n \"CAPABILITY_NE_APPROVAL\",\n \"INTELLIGENCE_NE_PRIVILEGE\",\n \"ORCHESTRATOR_OPTIMIZES_FLOW_NOT_ACTIVITY\",\n \"EVIDENCE_REQUIRED_FOR_COMPLETION\",\n \"BEST_AVAILABLE_EVIDENCE_NOT_FIRST_RESULT\",\n \"NO_TOOL_SPRAWL_WITHOUT_MEASURED_VALUE\"\n ],\n \"team\": {\n \"SCOUT\": [\"opportunity_discovery\", \"primary_source_verification\", \"top5_shortlisting\"],\n \"LEX\": [\"positioning\", \"claims_ledger\", \"account_specific_messaging\"],\n \"ATLAS\": [\"solution_architecture\", \"delivery_hypothesis\", \"acceptance_criteria\"],\n \"NEXUS\": [\"web_experience\", \"integration\", \"conversion_surface\", \"handoff_automation\"],\n \"REM\": [\"demand_generation\", \"channel_strategy\", \"content_qa\", \"outreach_assets\"],\n \"CLOSER\": [\"qualification\", \"discovery\", \"pipeline_progression\", \"partnership_conversion\"],\n \"FORGE\": [\"offer_design\", \"validation\", \"pricing_hypothesis\", \"product_iteration\"],\n \"PRISM\": [\"revops\", \"conversion_measurement\", \"verified_revenue_truth\"],\n \"CARE\": [\"customer_success\", \"retention\", \"expansion_after_verified_customer\"],\n \"AGI.S\": [\"capital_intelligence\", \"liquidity_research\", \"market_risk\", \"watch_only_execution\"]\n },\n \"professionalizationLoop\": {\n \"mode\": \"CONTINUOUS_CAPABILITY_GAP_DISCOVERY\",\n \"discoverySkill\": \"find-skills\",\n \"selectionPolicy\": \"BEST_AVAILABLE_EVIDENCE_NOT_FIRST_RESULT\",\n \"triggerConditions\": [\n \"mission_blocker_detected\",\n \"handoff_failure_detected\",\n \"manual_work_repeated\",\n \"quality_threshold_not_met\",\n \"conversion_bottleneck_detected\",\n \"missing_specialist_capability\"\n ],\n \"candidateGate\": [\n \"SOURCE_REPUTATION\",\n \"CONTENT_REVIEW\",\n \"PERMISSION_MINIMIZATION\",\n \"DUPLICATE_CHECK\",\n \"TASK_FIT\",\n \"COMPATIBILITY\",\n \"SECURITY\",\n \"PRIVACY\",\n \"COST\",\n \"MAINTAINABILITY\",\n \"TESTABILITY\",\n \"SANDBOX_TEST\",\n \"MEASURED_IMPROVEMENT\",\n \"ADOPT_OR_REJECT\"\n ],\n \"rule\": \"Never install or retain a skill/plugin because it is popular. Adopt only when it materially improves a defined mission metric or closes a verified capability gap.\"\n },\n \"chatgptProfessionalPlugins\": {\n \"HubSpot\": {\n \"pluginId\": \"plugin_asdk_app_697acb8e53d88191bf7a79e62012ae14\",\n \"controlPlaneState\": \"INSTALLED_ENABLED_USER_AUTHORIZED_VERIFIED\",\n \"primaryAgents\": [\"CLOSER\", \"CARE\", \"PRISM\", \"NEXUS\"],\n \"purpose\": [\"crm\", \"pipeline_truth\", \"customer_lifecycle\", \"handoff_state\"],\n \"writeBoundary\": \"EXTERNAL_WRITES_REQUIRE_APPLICABLE_APPROVAL\",\n \"valTownDirectToolBinding\": \"NOT_EXPOSED_IN_CURRENT_RUNTIME\"\n },\n \"Apollo.io\": {\n \"pluginId\": \"plugin_asdk_app_69bd664f2a908191a3a0a47eca8559d1\",\n \"controlPlaneState\": \"INSTALLED_ENABLED_USER_AUTHORIZED_VERIFIED\",\n \"primaryAgents\": [\"SCOUT\", \"CLOSER\", \"REM\"],\n \"purpose\": [\"buyer_intelligence\", \"account_research\", \"contact_route_discovery\"],\n \"writeBoundary\": \"NO_UNSOLICITED_MASS_OUTREACH_OR_AUTOMATIC_COMMITMENTS\",\n \"valTownDirectToolBinding\": \"NOT_EXPOSED_IN_CURRENT_RUNTIME\"\n },\n \"PostHog\": {\n \"pluginId\": \"plugin_asdk_app_699caef2d680819188727b0ddbb349dd\",\n \"controlPlaneState\": \"INSTALLED_ENABLED_USER_AUTHORIZED_VERIFIED\",\n \"primaryAgents\": [\"NEXUS\", \"REM\", \"PRISM\", \"FORGE\"],\n \"purpose\": [\"product_analytics\", \"funnel_measurement\", \"conversion_events\", \"experimentation\"],\n \"writeBoundary\": \"INSTRUMENTATION_REQUIRES_SITE_OR_APP_ACCESS_AND_PRIVACY_REVIEW\",\n \"valTownDirectToolBinding\": \"NOT_EXPOSED_IN_CURRENT_RUNTIME\"\n },\n \"Semrush\": {\n \"pluginId\": \"plugin_connector_691fa57b709c8191b61c48b1f78dce21\",\n \"controlPlaneState\": \"INSTALLED_ENABLED_USER_AUTHORIZED_VERIFIED\",\n \"primaryAgents\": [\"REM\", \"LEX\", \"NEXUS\", \"SCOUT\"],\n \"purpose\": [\"keyword_research\", \"seo_competitive_intelligence\", \"traffic_research\", \"content_opportunity\"],\n \"writeBoundary\": \"RESEARCH_AND_RECOMMENDATION_BY_DEFAULT\",\n \"valTownDirectToolBinding\": \"NOT_EXPOSED_IN_CURRENT_RUNTIME\"\n }\n },\n \"pluginRouting\": [\n {\"problem\": \"PIPELINE_OR_CUSTOMER_STATE\", \"preferred\": [\"HubSpot\"], \"owners\": [\"CLOSER\", \"CARE\", \"PRISM\"]},\n {\"problem\": \"TARGET_ACCOUNT_OR_BUYER_DISCOVERY\", \"preferred\": [\"Apollo.io\"], \"owners\": [\"SCOUT\", \"CLOSER\"]},\n {\"problem\": \"WEBSITE_OR_FUNNEL_CONVERSION\", \"preferred\": [\"PostHog\"], \"owners\": [\"NEXUS\", \"REM\", \"PRISM\"]},\n {\"problem\": \"SEO_OR_COMPETITIVE_DISCOVERY\", \"preferred\": [\"Semrush\"], \"owners\": [\"REM\", \"LEX\", \"SCOUT\"]}\n ],\n \"anthropicOfficialStack\": {\n \"sourceRepository\": \"anthropics/skills\",\n \"sourceCommit\": \"3b3fad96af16a10759d930941b4520ba0c40edae\",\n \"marketplace\": \"anthropic-agent-skills\",\n \"selectedSkills\": [\"claude-api\", \"skill-creator\", \"mcp-builder\", \"webapp-testing\", \"frontend-design\", \"discernment-nudge\"],\n \"fable5\": {\n \"modelId\": \"claude-fable-5\",\n \"role\": \"INDEPENDENT_PROFESSIONAL_QUALITY_REVIEWER\",\n \"authority\": \"ADVISORY_ONLY\",\n \"runtimeState\": \"BLOCKED_MISSING_ANTHROPIC_API_KEY\",\n \"reviewOwners\": [\"AURELIUS\", \"ORION\", \"LEX\", \"REM\", \"NEXUS\", \"CLOSER\", \"PRISM\"],\n \"dataBoundary\": \"SANITIZED_SNAPSHOT_ONLY_NO_SECRETS_NO_CUSTOMER_PII\"\n },\n \"skillEvaluationRule\": \"BASELINE_VS_WITH_SKILL_MEASUREMENT_REQUIRED_BEFORE_PERMANENT_ADOPTION\"\n },\n \"orion\": {\n \"role\": \"COLLECTIVE_INTELLIGENCE_ADVISORY\",\n \"method\": \"EVIDENCE_WEIGHTED_COOPERATIVE_SYNTHESIS\",\n \"authority\": \"ADVISORY_SYNTHESIS_ONLY\"\n },\n \"architectApprovalRequired\": [\n \"binding_contract\",\n \"financial_commitment\",\n \"paid_spend_without_preapproved_budget\",\n \"token_or_asset_transfer\",\n \"transaction_signature\",\n \"irreversible_external_commitment\",\n \"material_legal_commitment\"\n ]\n}",[229],"80d0a5ce-6f77-4cfc-9985-3c21eebbcb0a","AURELIUS-HANDOFF-PROTOCOL.md","d2e82084-a14c-11f1-aebb-1607ee4eb77e",18,["D",1787748675311],"# AURELIUS Handoff Protocol\n\nORCH_ID: ORCH-REVENUE-001\nDOMAIN: REVENUE_GROWTH_TEAM\nAUTONOMY_TARGET: 90% bounded autonomy\n\n## Canonical flow\nMISSION -> ORION_SYNTHESIS -> TASK_GRAPH -> OWNER -> EVIDENCE -> HANDOFF -> NEXT_OWNER -> VERIFIED_COMPLETION\n\n## Task states\n- CREATED\n- ACTIVE\n- WAITING_DEPENDENCY\n- BLOCKED\n- EVIDENCE_RECEIVED\n- VERIFIED\n- HANDOFF_READY\n- COMPLETED\n\n## Completion rule\nA task is not complete because an agent says it is complete. Completion requires an attributable artifact, observed runtime state, verified external action, or other inspectable evidence appropriate to the task.\n\n## Communication rule\nAgents do not compete for authority. Different specialist views are sent to ORION for evidence-weighted synthesis. AURELIUS converts the synthesis into one coordinated domain plan.\n\n## Escalation rule\nEscalate to the Architect before binding contracts, material legal commitments, new paid spend without an approved budget, signatures, token/asset transfers, or irreversible external commitments.\n\n## Current P0 mission\nFIRST VERIFIED CUSTOMER -> FIRST VERIFIED REVENUE\n\n## Focus rule\nNo more than five active commercial targets at once until verified conversion evidence justifies expansion.\n",[237],"ad4f84bd-a6ba-4b96-a0ca-980649054965","ANTHROPIC-OFFICIAL-SKILLS.json","c8251424-a163-11f1-b53f-1607ee4eb77e",33,["D",1787758535674],"{\n \"schema\": \"ic.anthropic.official-skills.v1\",\n \"verifiedAt\": \"2026-08-26T15:30:00Z\",\n \"source\": {\n \"repository\": \"anthropics/skills\",\n \"commit\": \"3b3fad96af16a10759d930941b4520ba0c40edae\",\n \"marketplace\": \"anthropic-agent-skills\",\n \"marketplaceFile\": \".claude-plugin/marketplace.json\",\n \"sourceAuthority\": \"ANTHROPIC_PUBLIC_GITHUB\"\n },\n \"fable5\": {\n \"modelId\": \"claude-fable-5\",\n \"availabilityEvidence\": \"Anthropic official model catalog and public product page\",\n \"runtimeCredential\": \"ANTHROPIC_API_KEY\",\n \"currentRuntimeState\": \"PREPARED_REQUIRES_API_CREDENTIAL\",\n \"authority\": \"ADVISORY_QUALITY_REVIEW_ONLY\"\n },\n \"selectedOfficialSkills\": [\n {\n \"name\": \"claude-api\",\n \"path\": \"skills/claude-api/SKILL.md\",\n \"purpose\": \"Authoritative Claude API/SDK/model/tool-use patterns, including Fable 5 model behavior\"\n },\n {\n \"name\": \"skill-creator\",\n \"path\": \"skills/skill-creator/SKILL.md\",\n \"purpose\": \"Skill creation, baseline-vs-skill evaluation, quantitative/qualitative benchmarking and iteration\"\n },\n {\n \"name\": \"mcp-builder\",\n \"path\": \"skills/mcp-builder/SKILL.md\",\n \"purpose\": \"Professional MCP integration design\"\n },\n {\n \"name\": \"webapp-testing\",\n \"path\": \"skills/webapp-testing/SKILL.md\",\n \"purpose\": \"Web application testing and verification\"\n },\n {\n \"name\": \"frontend-design\",\n \"path\": \"skills/frontend-design/SKILL.md\",\n \"purpose\": \"Professional frontend execution patterns\"\n },\n {\n \"name\": \"discernment-nudge\",\n \"path\": \"skills/discernment-nudge/SKILL.md\",\n \"purpose\": \"Decision-quality and missing-context checks\"\n }\n ],\n \"adoptionPolicy\": {\n \"mode\": \"PINNED_SOURCE_REVIEW_NOT_BLIND_REMOTE_EXECUTION\",\n \"rules\": [\n \"Do not dynamically execute unreviewed upstream skill changes\",\n \"Pin source commit for provenance\",\n \"Evaluate usefulness against a baseline before adoption\",\n \"Do not copy Anthropic brand styling into IMPERIAL branding\",\n \"Do not copy secrets or private system context into public runtime code\",\n \"Fable 5 is a reviewer, not execution authority\",\n \"Human/Architect approval remains required for binding, financial and irreversible actions\"\n ]\n }\n}\n",[244],"49fca12c-f980-408e-87a0-0dd341e5c971","skills","84941f58-a149-11f1-80f4-1607ee4eb77e",7,["D",1787747255411],"directory",[251],"pulls","branches","forks","envVars",{"_264":233,"_266":61},"connections",{"_264":61,"_265":61},"count","unfilledCount","emptyCount",{"_41":250,"_31":251,"_29":252,"_146":-5,"_39":40,"_38":253,"_148":57,"_36":372,"_13":61,"_32":255,"_34":-5,"_23":24,"_153":-5,"_289":373,"_26":374},{"_41":368,"_31":367,"_29":361,"_146":252,"_39":40,"_38":362,"_148":57,"_36":369,"_13":61,"_32":255,"_34":-5,"_23":24,"_153":-5,"_289":370,"_26":371},{"_41":359,"_31":332,"_29":360,"_146":361,"_39":40,"_38":362,"_148":57,"_36":363,"_13":61,"_32":20,"_34":364,"_23":24,"_153":-5,"_289":365,"_26":366},{"_41":354,"_31":353,"_29":347,"_146":252,"_39":40,"_38":355,"_148":57,"_36":356,"_13":61,"_32":255,"_34":-5,"_23":24,"_153":-5,"_289":357,"_26":358},{"_41":345,"_31":332,"_29":346,"_146":347,"_39":40,"_38":348,"_148":57,"_36":349,"_13":61,"_32":20,"_34":350,"_23":24,"_153":-5,"_289":351,"_26":352},{"_41":341,"_31":340,"_29":334,"_146":252,"_39":40,"_38":335,"_148":57,"_36":342,"_13":61,"_32":255,"_34":-5,"_23":24,"_153":-5,"_289":343,"_26":344},{"_41":331,"_31":332,"_29":333,"_146":334,"_39":40,"_38":335,"_148":57,"_36":336,"_13":61,"_32":20,"_34":337,"_23":24,"_153":-5,"_289":338,"_26":339},{"_41":243,"_31":244,"_29":245,"_146":-5,"_39":40,"_38":246,"_148":57,"_36":328,"_13":61,"_32":20,"_34":248,"_23":24,"_153":-5,"_289":329,"_26":330},{"_41":236,"_31":237,"_29":238,"_146":-5,"_39":40,"_38":239,"_148":57,"_36":325,"_13":61,"_32":20,"_34":241,"_23":24,"_153":-5,"_289":326,"_26":327},{"_41":228,"_31":229,"_29":230,"_146":-5,"_39":40,"_38":231,"_148":57,"_36":322,"_13":233,"_32":20,"_34":234,"_23":24,"_153":-5,"_289":323,"_26":324},{"_41":221,"_31":222,"_29":223,"_146":-5,"_39":40,"_38":224,"_148":57,"_36":319,"_13":150,"_32":170,"_34":226,"_23":24,"_153":-5,"_289":320,"_26":321},{"_41":214,"_31":215,"_29":216,"_146":-5,"_39":40,"_38":217,"_148":24,"_36":316,"_13":161,"_32":170,"_34":219,"_23":24,"_153":-5,"_289":317,"_26":318},{"_41":206,"_31":207,"_29":208,"_146":-5,"_39":40,"_38":209,"_148":24,"_36":313,"_13":178,"_32":151,"_34":211,"_23":24,"_153":212,"_289":314,"_26":315},{"_41":199,"_31":200,"_29":201,"_146":-5,"_39":40,"_38":202,"_148":57,"_36":310,"_13":61,"_32":170,"_34":204,"_23":24,"_153":-5,"_289":311,"_26":312},{"_41":191,"_31":192,"_29":193,"_146":-5,"_39":40,"_38":194,"_148":57,"_36":307,"_13":61,"_32":151,"_34":196,"_23":24,"_153":197,"_289":308,"_26":309},{"_41":188,"_31":27,"_29":30,"_146":-5,"_39":40,"_38":14,"_148":24,"_36":304,"_13":61,"_32":33,"_34":35,"_23":24,"_153":-5,"_289":305,"_26":306},{"_41":181,"_31":182,"_29":183,"_146":-5,"_39":40,"_38":184,"_148":57,"_36":301,"_13":61,"_32":170,"_34":186,"_23":24,"_153":-5,"_289":302,"_26":303},{"_41":173,"_31":174,"_29":175,"_146":-5,"_39":40,"_38":176,"_148":57,"_36":298,"_13":178,"_32":151,"_34":179,"_23":24,"_153":-5,"_289":299,"_26":300},{"_41":164,"_31":165,"_29":166,"_146":-5,"_39":40,"_38":167,"_148":57,"_36":295,"_13":169,"_32":170,"_34":171,"_23":24,"_153":-5,"_289":296,"_26":297},{"_41":156,"_31":157,"_29":158,"_146":-5,"_39":40,"_38":159,"_148":57,"_36":292,"_13":161,"_32":33,"_34":162,"_23":24,"_153":-5,"_289":293,"_26":294},{"_41":144,"_31":145,"_29":55,"_146":-5,"_39":40,"_38":147,"_148":24,"_36":288,"_13":150,"_32":151,"_34":152,"_23":24,"_153":154,"_289":290,"_26":291},["D",1787754011721],"children",[],[145],["D",1787758774912],[],[157],["D",1787759045329],[],[165],["D",1787754263235],[],[174],["D",1787749150042],[],[182],["D",1787760086469],[],[27],["D",1787759089842],[],[192],["D",1787758600456],[],[200],["D",1787758685320],[],[207],["D",1787758703085],[],[215],["D",1787758986245],[],[222],["D",1787758637792],[],[229],["D",1787748675311],[],[237],["D",1787758535674],[],[244],"522f36ca-d0ee-4260-a863-87e7a8bc1b3c","SKILL.md","2ed75710-a162-11f1-b7ad-1607ee4eb77e","7e8b7c08-05df-4b72-805a-2bd9b144897d",29,["D",1787757848976],"# Professional Capability Discovery\n\n## Purpose\nContinuously improve AURELIUS and the first NCA team by finding, evaluating and routing only the skills/plugins that close a verified capability gap or materially improve a mission KPI.\n\n## Trigger\nUse when any of the following occurs:\n- a mission blocker persists;\n- a handoff repeatedly fails;\n- work is being repeated manually;\n- a quality threshold is missed;\n- conversion is stalled;\n- a specialist lacks a required capability;\n- a better external data source or integration may materially improve evidence quality.\n\n## Workflow\n1. Define the exact capability gap and the mission metric it affects.\n2. Search existing installed skills first. Prefer reuse over tool sprawl.\n3. Use `find-skills` for external Agent Skill discovery when the existing stack is insufficient.\n4. Search the approved plugin catalog only for a concrete missing external capability.\n5. Evaluate at least the viable alternatives, not the first result.\n6. Score each candidate on task fit, source reputation, content quality, permissions, security/privacy, compatibility, cost, maintainability, testability and expected measurable improvement.\n7. Reject candidates that duplicate an existing capability without a measurable benefit.\n8. Sandbox/test before adoption where execution is possible.\n9. Record ADOPT / PILOT / REJECT / NO_UPGRADE_JUSTIFIED with evidence.\n10. Route the selected capability to the minimum necessary agents.\n11. Re-measure the target KPI after adoption. Remove or downgrade tools that do not improve results.\n\n## Selection rule\n`BEST_AVAILABLE_EVIDENCE_NOT_FIRST_RESULT`\n\nBEST means the best-supported option among evaluated candidates for the stated task and constraints. It is never an absolute claim that the tool is best in the entire market.\n\n## Current professional plugin bindings\n- HubSpot → CLOSER / CARE / PRISM / NEXUS: CRM, pipeline/customer lifecycle and handoff truth.\n- Apollo.io → SCOUT / CLOSER / REM: buyer/account intelligence and contact-route discovery.\n- PostHog → NEXUS / REM / PRISM / FORGE: product/funnel analytics and experimentation.\n- Semrush → REM / LEX / NEXUS / SCOUT: SEO, keyword and competitive traffic research.\n\n## Boundaries\n- ChatGPT plugin installed/enabled does not imply direct Val Town runtime tool exposure.\n- Never copy OAuth tokens, API keys or private customer data into public runtime code.\n- No unsolicited mass outreach, spam, fabricated contacts or automatic commitments.\n- External writes follow the applicable approval policy.\n- Paid spend, contracts, financial actions and irreversible commitments remain approval-gated.\n- Skill/plugin popularity is not evidence of quality.\n",[],[251,340,332],"professional-capability-discovery","4a1e39e3-91b4-4b9a-b6e0-7097449b1646",["D",1787757848976],[273],[251,340],"706f3507-d10a-4dc7-91b1-d86b7adaa9e4","9661a944-a149-11f1-a8b7-1607ee4eb77e","8c6d2cb0-a149-11f1-a497-1607ee4eb77e",9,["D",1787747285256],"---\nname: find-skills\ndescription: Helps users discover and install agent skills when they ask questions like \"how do I do X\", \"find a skill for X\", \"is there a skill that can...\", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.\n---\n\n# Find Skills\n\nThis skill helps you discover and install skills from the open agent skills ecosystem.\n\n## When to Use This Skill\n\nUse this skill when the user:\n- Asks \"how do I do X\" where X might be a common task with an existing skill\n- Says \"find a skill for X\" or \"is there a skill for X\"\n- Asks \"can you do X\" where X is a specialized capability\n- Expresses interest in extending agent capabilities\n- Wants to search for tools, templates, or workflows\n- Mentions they wish they had help with a specific domain\n\n## Skills CLI\n\nThe Skills CLI (`npx skills`) is the package manager for the open agent skills ecosystem.\n\nKey commands:\n- `npx skills find [query] [--owner ]`\n- `npx skills add `\n- `npx skills update`\n- `npx skills list`\n\nBrowse skills at: https://skills.sh/\n\n## Selection workflow\n\n1. Understand the domain, exact task, runtime and constraints.\n2. Check the skills.sh leaderboard first for established options.\n3. Search using specific keywords; try alternate terms when needed.\n4. Verify quality before recommending or installing:\n - prefer reputable/official sources such as vercel-labs, anthropics and microsoft;\n - consider install count and repository reputation;\n - inspect SKILL.md and any scripts/hooks before trusting them;\n - reject skills that request unnecessary secrets, excessive permissions, hidden network actions, destructive behavior, bypasses, spam, deceptive claims, or unverified execution authority.\n5. Compare the strongest candidates against the current system before installing. A new skill must materially improve capability, quality, reliability, safety or execution speed; do not install duplicates for collection's sake.\n6. Install only the selected skill and preserve provenance.\n7. Test the target agent after installation and record PASS/BLOCKED/NOT_VERIFIED accurately.\n\n## Typical commands\n\n```bash\nnpx skills find react performance\nnpx skills find pr review\nnpx skills find changelog\nnpx skills add -g -y\n```\n\n## IMPERIAL selection gate\n\nSearch is discovery, not trust. Candidate skill status must pass:\nSOURCE_REPUTATION -> CONTENT_REVIEW -> PERMISSION_MINIMIZATION -> DUPLICATE_CHECK -> COMPATIBILITY -> SANDBOX/TEST -> ADOPT_OR_REJECT.\n\nNever equate popularity with correctness. Never claim a skill is installed, working, or production-ready without runtime evidence.\n\nUpstream: vercel-labs/skills, skills/find-skills/SKILL.md\nReviewed source blob: a41bdd074bb587afd861332cf2f473f3154de4d7\n",[],[251,353,332],"find-skills","1258e803-4a13-437a-a9d3-48f3c6364914",8,["D",1787747268570],[271],[251,353],"d2f47c06-ee05-4e68-9857-151cbd261eac","d6054fdc-a163-11f1-aae5-1607ee4eb77e","0b5eca01-f920-4cda-ac68-2bdcfa12bcf9",34,["D",1787758558955],"---\nname: anthropic-fable5-quality\ndescription: Use for high-stakes professional quality review of public claims, external communications, web surfaces, partner materials, architecture summaries, mission plans and skill/plugin upgrades. Apply when reputation, factuality, decision quality, security/privacy, or professional standards materially matter. This skill uses Anthropic's official Agent Skills patterns as source guidance and can route an advisory review to Claude Fable 5 only when a verified Anthropic API credential is available.\n---\n\n# Anthropic Fable 5 Professional Quality Gate\n\n## Source authority\nUse only pinned official Anthropic sources for Claude/Fable API behavior:\n- repository: `anthropics/skills`\n- pinned commit: `3b3fad96af16a10759d930941b4520ba0c40edae`\n- official skill: `skills/claude-api/SKILL.md`\n- official skill: `skills/skill-creator/SKILL.md`\n- official plugin marketplace: `.claude-plugin/marketplace.json`\n\nNever infer model IDs or SDK behavior from memory when the official source can be checked.\n\n## Model\nWhen an Anthropic quality-review call is explicitly enabled, use the exact model alias `claude-fable-5`.\nUse the official Anthropic SDK for TypeScript. Do not use OpenAI-compatible shims.\nFable 5 is advisory only and has no authority to publish, spend, sign, transfer assets, make binding commitments, or modify canonical governance.\n\n## Professional review dimensions\n1. Factual accuracy and evidence provenance.\n2. Unsupported claims, exaggeration, adoption/listing/audit/partnership implications.\n3. Public/private boundary and secret exposure.\n4. Legal/compliance uncertainty that must be labeled rather than guessed.\n5. Security and authorization boundary correctness.\n6. Brand/reputation risk from ambiguous, inflated or amateur wording.\n7. Commercial clarity: audience, problem, value, evidence, CTA.\n8. Technical quality and verification completeness.\n9. Consistency with canonical architecture and current runtime truth.\n10. Missing evidence, unresolved blockers and safest next action.\n\n## Skill/plugin professionalization\nFollow an evaluation loop before retaining a new capability:\n- define the capability gap and target KPI;\n- create realistic test cases;\n- compare with-skill against baseline/current capability;\n- measure objective assertions where possible;\n- perform qualitative review where subjective judgment is required;\n- keep ADOPT / PILOT / REJECT / NO_UPGRADE_JUSTIFIED evidence;\n- remove tools that add complexity without measurable improvement.\n\nPopularity is not quality evidence.\n\n## Reputation gate\nClassify every material external statement as one of:\n- VERIFIED_FACT\n- OBSERVED_RUNTIME_STATE\n- ARCHITECTURAL_INTENT\n- ROADMAP_TARGET\n- OPINION\n- UNKNOWN\n- PROHIBITED\n\nA stronger claim requires stronger evidence. UNKNOWN must remain UNKNOWN.\n\nBlock or rewrite material that contains:\n- fabricated customers, partnerships, audits, listings or adoption;\n- guaranteed returns, price targets or deceptive FOMO;\n- unsupported superiority claims;\n- private implementation/security details on public surfaces;\n- pipeline presented as revenue;\n- architecture presented as deployed production capability;\n- a plugin/skill shown as runtime-bound when only installed in the ChatGPT control plane.\n\n## Output\nReturn a compact professional review containing:\n- VERDICT: PASS / PASS_WITH_CORRECTIONS / BLOCK\n- REPUTATION_RISK: LOW / MEDIUM / HIGH / CRITICAL\n- FACTUALITY\n- CLAIMS\n- SECURITY_PRIVACY\n- PROFESSIONAL_QUALITY\n- COMMERCIAL_CLARITY\n- BLOCKERS\n- REQUIRED_CORRECTIONS\n- BEST_NEXT_ACTION\n- EVIDENCE_GAPS\n\nNo PASS without evidence.\n",[],[251,367,332],"anthropic-fable5-quality","e0e94d51-164b-4445-9444-58883a78c1cf",["D",1787758558955],[269],[251,367],["D",1787747255411],[268,270,272],[251],["D",1787682621028],["D",1789510872811],{"_98":97,"_106":102},{"_98":97,"_99":100,"_101":102,"_18":53,"_103":104,"_105":24},{"_13":87,"_31":88,"_41":40,"_89":42,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":-5,"_95":43,"_96":97},"ctx",{"_80":-5,"_126":413,"_414":415,"_416":417,"_418":24,"_419":24,"_420":24,"_421":57,"_422":-5,"_423":-7,"_424":-7,"_425":61,"_426":24,"_427":24,"_428":-5,"_429":24,"_430":24,"_431":24,"_432":-5},"ENV",{"_384":385,"_386":387,"_388":88,"_389":390,"_391":392,"_393":394,"_395":396,"_397":398,"_399":400,"_401":402,"_403":404,"_405":406,"_407":408,"_409":410,"_411":412},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v47