Home / getedgehq / skills · evals/agent-receipt/2026-09-19/invalid-undisclosed-schema/s2/with.meta/skill/agent-receipt/SKILL.md · GitHub

agent-receipt skillA

This file is byte-identical to the first copy the registry indexed, one of 9 copies on public GitHub. Same content hash, same audit grade.

agent-receipt is agent-read markdown (skill) from getedgehq/skills: 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..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# 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.

Read the whole file at its exact version.

How to install

Latest version
mdr add getedgehq/skills/agent-receipt@git:20260920.deb764a
Exact content
mdr add getedgehq/skills/agent-receipt@sha256:e3fc9dbd509c6e00

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ozxg7n4tw5gj7x6j.svg)](https://markdownregistry.com/a/art_ozxg7n4tw5gj7x6j)

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Versions

versioncommittedcommitsizeaudit
git:20260920.deb764a latest2026-09-20 deb764a 1,151 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1151 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

getedgehq/skills · 3 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ozxg7n4tw5gj7x6j
GET https://markdownregistry.com/api/v1/resolve?ref=getedgehq/skills/agent-receipt
GET https://markdownregistry.com/api/v1/blob/e3fc9dbd509c6e00e4f829d1ce041d9c71d591c5eff790eeb6dc4cad1d104c2b

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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Every file in getedgehq/skills

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