github-seo skillA
github-seo is agent-read markdown (skill) from avalonreset/legends-github: Research relevant organic discovery for GitHub projects through user intent, technical examples, fair alternatives/comparisons, metadata, docs, and distribution. Optional live search metrics are source-attributed and never required..
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
# GitHub organic discovery research Help appropriate users find and evaluate a project. Produce truthful content recommendations grounded in capabilities and audience needs. Rankings, traffic, AI citations, adoption, and revenue remain outcomes to measure, not guarantees. ## Runtime and scope Resolve **GITHUB_HOME** from this skill directory: `../../github` in source, `../github` when installed. Verify `scripts/run_headless.py` exists and read `GITHUB_HOME/references/portable-workflows.md`. Resolve **TARGET** separately. ```text python "<GITHUB_HOME>/scripts/run_headless.py" seo --help python "<GITHUB_HOME>/scripts/run_headless.py" seo --path "<TARGET>" python "<GITHUB_HOME>/scripts/run_headless.py" seo --path "<TARGET>" --mode full python "<GITHUB_HOME>/scripts/run_headless.py" discover --path "<TARGET>" --audience "Intended users" --category "User problem" --competitor "Comparison candidate" ``` The runner creates deterministic local keyword/content suggestions and `seo-data.json`, `SEO-REPORT.md`, and `SEO-SUMMARY.json`. Neither `quick` nor `full` implies live paid research. Check reported analysis mode and evidence; …
Read the whole file at its exact version.
How to install
mdr add avalonreset/legends-github/github-seo@git:20260923.f5e0870mdr add avalonreset/legends-github/github-seo@sha256:4ad6da6ab8309dd2Pin 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_3d2z2e2whideu5zz)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260923.f5e0870 latest | 2026-09-23 | f5e0870 | 11,254 B | A | view · diff |
| git:20260921.a2e8de7 | 2026-09-21 | a2e8de7 | 9,598 B | A | view · diff |
| git:20260509.b2d3e98 | 2026-05-09 | b2d3e98 | 23,325 B | A | view · diff |
| git:20260316.34b3e2a | 2026-03-16 | 34b3e2a | 23,430 B | A | view · diff |
| git:20260313.aa9b904 | 2026-03-13 | aa9b904 | 23,036 B | A | view · diff |
| git:20260313.2ced3b5 | 2026-03-13 | 2ced3b5 | 23,089 B | A | view · diff |
| git:20260309.d019325 | 2026-03-09 | d019325 | 22,104 B | A | view |
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 (11254 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
avalonreset/legends-github · 4 stars · license MIT · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3d2z2e2whideu5zz GET https://markdownregistry.com/api/v1/resolve?ref=avalonreset/legends-github/github-seo GET https://markdownregistry.com/api/v1/blob/4ad6da6ab8309dd2b8922db1b64c0ef9cea928eb19c176b2a3e185c46ec8187a
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.