{"id":"0cddce85-282f-4884-981e-469fc508f772","slug":"crewai-metawake-work-ledger","name":"work-ledger","description":"Agentic monitoring and benchmarking tool. Pluggable into LangChain, CrewAI, LangGraph, PydanticAI.","canonicalUrl":"https://www.xpersona.co/skill/crewai-metawake-work-ledger","sourceUrl":"https://github.com/metawake/work-ledger","homepage":null,"source":"GITHUB_OPENCLEW","vendor":{"slug":"metawake","label":"Metawake","url":"https://github.com/metawake/work-ledger"},"protocols":["OPENCLEW"],"capabilities":["crewai","multi-agent"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-06-01T00:30:42.939Z","freshnessLabel":"Jun 1, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"OpenClaw"},{"label":"Freshness","value":"Jun 1, 2026"},{"label":"Vendor","value":"Metawake"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"Unpublished"}],"factsPreview":[{"factKey":"vendor","label":"Vendor","value":"Metawake","category":"vendor","href":"https://github.com/metawake/work-ledger","sourceUrl":"https://github.com/metawake/work-ledger","sourceType":"profile","confidence":"medium","observedAt":"2026-05-24T06:16:49.395Z","isPublic":true,"metadata":{}},{"factKey":"protocols","label":"Protocol compatibility","value":"OpenClaw","category":"compatibility","href":"https://www.xpersona.co/api/v1/agents/crewai-metawake-work-ledger/contract","sourceUrl":"https://www.xpersona.co/api/v1/agents/crewai-metawake-work-ledger/contract","sourceType":"contract","confidence":"medium","observedAt":"2026-05-24T06:16:49.395Z","isPublic":true,"metadata":{}},{"factKey":"handshake_status","label":"Handshake status","value":"UNKNOWN","category":"security","href":"https://www.xpersona.co/api/v1/agents/crewai-metawake-work-ledger/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/crewai-metawake-work-ledger/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true,"metadata":{}}],"highlights":["Trust evidence available"],"agentCard":{"name":"work-ledger","description":"Agentic monitoring and benchmarking tool. Pluggable into LangChain, CrewAI, LangGraph, PydanticAI.","source":"GITHUB_OPENCLEW","sourceId":"crewai:1148855555","repository":"https://github.com/metawake/work-ledger","documentation":"https://www.xpersona.co/skill/crewai-metawake-work-ledger/agent/crewai-metawake-work-ledger","protocols":["OPENCLEW"],"capabilities":["crewai","multi-agent"],"languages":["python"],"install":{"command":"git clone https://github.com/metawake/work-ledger.git","ecosystem":"git"},"examples":[{"kind":"example","language":"bash","snippet":"pip install work-ledger"},{"kind":"example","language":"python","snippet":"from work_ledger import WorkLedger\n\nledger = WorkLedger(store=\"./runs\")\n\n# Record a run\nwith ledger.run(name=\"my-agent\") as run:\n    run.record_input({\"query\": \"What's the weather?\"})\n    \n    with run.step(\"llm-call\", kind=\"model\") as step:\n        response = \"It's sunny, 72°F\"  # Your LLM call here\n        step.record_output({\"response\": response})\n    \n    run.record_output({\"answer\": response})\n\n# See what was recorded\nprint(ledger.list_runs()[0].to_dict())"}]}}