audit-execution-guide skillA
audit-execution-guide is agent-read markdown (skill) from devcodex-labs/devcodex: 审查执行指南 — 维度优先级分批、定向审查子集、联动检查清单.
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 devcodex-labs/devcodex/audit-execution-guide@git:20260730.6ee304amdr add devcodex-labs/devcodex/audit-execution-guide@sha256:59f578b488816efdPin 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_dl5lnqegmq3ultyb)
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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 (6946 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
devcodex-labs/devcodex · 338 stars · license AGPL-3.0 · pushed 2026-09-17 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_dl5lnqegmq3ultyb GET https://markdownregistry.com/api/v1/resolve?ref=devcodex-labs/devcodex/audit-execution-guide GET https://markdownregistry.com/api/v1/blob/59f578b488816efdd2faf9be0dfc8bb43e608d5ab7a00b2b29296cf53982017d
Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.