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Agent Receipt

Create a compact, evidence-backed proof-of-work receipt for a completed AI agent run. Use when the user wants to summarize what an agent actually built, how long it took, what changed, tests run, interventions, deployment status, or skills used.

getedgehq Updated
AI & ML

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Agent Receipt

  1. Gather only evidence available in the current run/repo.
  2. Never infer a passed test, deployment, duration, or intervention count. Use unknown instead.
  3. Write a local JSON manifest with: project, agent, duration_minutes, interventions, files_changed, tests_passed, tests_total, verification, deployed, skills_used, and evidence.
  4. Run scripts/receipt.py <manifest> --out <public-result.json>. The public result contains evidence hashes and counts, never raw evidence values.
  5. Run scripts/render.py <public-result.json> --svg <card.svg> [--png <card.png>].
  6. Keep the source manifest and raw evidence local unless the user explicitly approves publishing selected evidence.
  7. Publishing is a separate external action. Confirm destination and visibility immediately before uploading unless the current request already authorizes it.

getedgehq/skills/tree/main/agent-receipt commit 415cb9edb4

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Frequently asked questions

npx skillmds@latest add getedgehq/agent-receipt