segmentation skillA
segmentation is agent-read markdown (skill) from gtmagents/gtm-agents: Use when designing filters, suppression logic, and personalization cohorts.
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 gtmagents/gtm-agents/segmentation@git:20251119.8c446bfmdr add gtmagents/gtm-agents/segmentation@sha256:072f4eaf29a69311Pin 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_lqzjz6znjllsbmln)
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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 (1499 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
gtmagents/gtm-agents · 406 stars · license Apache-2.0 · pushed 2026-04-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lqzjz6znjllsbmln GET https://markdownregistry.com/api/v1/resolve?ref=gtmagents/gtm-agents/segmentation GET https://markdownregistry.com/api/v1/blob/072f4eaf29a69311f3b02853acc4e98968b66e6444fa147b2e071e5ee0a57c37
Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.