release-audit skillA
release-audit is agent-read markdown (skill) from stbenjam/skillsaw: Review release evidence for missing approvals. Use when validating a release candidate..
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.
How to install
mdr add stbenjam/skillsaw/release-audit@git:20260806.42a474amdr add stbenjam/skillsaw/release-audit@sha256:b3b8c6f129b088d8Pin 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.
[](https://markdownregistry.com/a/art_oovpsqf7ji5j75ul)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (214 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
stbenjam/skillsaw · 66 stars · license Apache-2.0 · pushed 2026-09-12 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_oovpsqf7ji5j75ul GET https://markdownregistry.com/api/v1/resolve?ref=stbenjam/skillsaw/release-audit GET https://markdownregistry.com/api/v1/blob/b3b8c6f129b088d887fa704272cae98d904d451b7dc1d9875dedd308f9ed3adb
Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.