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.
Installs into .claude/skills of the current project.
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---
name: agent-receipt
description: 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.
---
# 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.
