deeper skillA
deeper is agent-read markdown (skill) from stbenjam/skillsaw: Nested entry that the fixed one-level Agent Plugins skill scan must never surface. Use when verifying discovery depth..
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/deeper@git:20260806.42a474amdr add stbenjam/skillsaw/deeper@sha256:e50d31d1c4fdb274Pin 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_n7sw4qbmoeak434h)
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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 (392 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_n7sw4qbmoeak434h GET https://markdownregistry.com/api/v1/resolve?ref=stbenjam/skillsaw/deeper GET https://markdownregistry.com/api/v1/blob/e50d31d1c4fdb274026cb9015b8551f72679dd9a4a0a30c2b3f7eb142deb9992
Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.