{"id":"3a0a0141-7a05-48d8-9325-72d3438d3a8c","entityType":"agent","slug":"crawl-996e1bf537fbffcf-d5966fd9debd","name":"Crawled github.com d5966fd9","canonicalUrl":"https://www.xpersona.co/agent/crawl-996e1bf537fbffcf-d5966fd9debd","canonicalPath":"/agent/crawl-996e1bf537fbffcf-d5966fd9debd","generatedAt":"2026-10-09T07:36:19.718Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-04-15T00:31:14.971Z","emptyReason":null},"description":"ne message with multiple tasks, use spawn --json --multi \"<message>\" . The router splits on and , then , ; , and also , classifies each part, and returns {\"parallel\": true, \"spawns\": [{task, model, sessionTarget}, ...... ne message with multiple tasks, use spawn --json --multi \"<message>\" . The router splits on and , then , ; , and also , classifies each part, and returns {\"parallel\": true, \"spawns\": [{task, model, sessionTarget}, ...], \"count\": N} . The orchestrator can then call sessions_spawn for each entry and run them in parallel; use subagent-tracker to see progress. Example: spawn --json --multi \"fix the login bug and write a","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 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Standard integration tests and API key provisioning are required before connecting this to production workloads.","Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/crawl-996e1bf537fbffcf-d5966fd9debd/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/crawl-996e1bf537fbffcf-d5966fd9debd/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/crawl-996e1bf537fbffcf-d5966fd9debd/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/crawl-996e1bf537fbffcf-d5966fd9debd/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/crawl-996e1bf537fbffcf-d5966fd9debd/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/crawl-996e1bf537fbffcf-d5966fd9debd/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":[]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"CLAWHUB","generatedAt":"2026-10-09T07:36:19.718Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/crawl-996e1bf537fbffcf-d5966fd9debd/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/crawl-996e1bf537fbffcf-d5966fd9debd/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/crawl-996e1bf537fbffcf-d5966fd9debd/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/crawl-996e1bf537fbffcf-d5966fd9debd/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"high","updatedAt":"2026-04-15T00:31:14.971Z","emptyReason":null},"readme":"ne message with multiple tasks, use spawn --json --multi \"<message>\" . The router splits on and , then , ; , and also , classifies each part, and returns {\"parallel\": true, \"spawns\": [{task, model, sessionTarget}, ...], \"count\": N} . The orchestrator can then call sessions_spawn for each entry and run them in parallel; use subagent-tracker to see progress. Example: spawn --json --multi \"fix the login bug and write a short poem\" → two spawns (e.g. GLM 4.7 for code, Kimi for poem). Quick start npm install -g clawhub clawhub install agent-swarm python scripts/router.py default python scripts/router.py classify \" your task description \" Features Orchestrator — Gemini 2.5 Flash delegates to tier-specific sub-agents via sessions_spawn Parallel tasks — spawn --json --multi \"task A and task B\" splits on and / then / ; and returns an array of spawn params; orchestrator can spawn all and run them","readmeExcerpt":"ne message with multiple tasks, use spawn --json --multi \"<message>\" . The router splits on and , then , ; , and also , classifies each part, and returns {\"parallel\": true, \"spawns\": [{task, model, sessionTarget}, ...], \"count\": N} . The orchestrator can then call sessions_spawn for each entry and run them in parallel; use subagent-tracker to see progress. Example: spawn --json --multi \"fix the login bug and write a ","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"ne message with multiple tasks, use spawn --json --multi \"<message>\" . The router splits on and , then , ; , and also , classifies each part, and returns {\"parallel\": true, \"spawns\": [{task, model, sessionTarget}, ...... ne message with multiple tasks, use spawn --json --multi \"<message>\" . The router splits on and , then , ; , and also , classifies each part, and returns {\"parallel\": true, \"spawns\": [{task, model, sessionTarget}, ...], \"count\": N} . The orchestrator can then call sessions_spawn for each entry and run them in parallel; use subagent-tracker to see progress. 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