agent-discovery
agent-discovery is an SEO strategy & audits skill for AI agents, published by joelhooks in the joelclaw repository on GitHub. Skillspace rates agent-discovery C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Optimize websites, docs, and product surfaces for agent discoverability and operator UX. Use when working on agent SEO/AEO/GEO, crawl policy, markdown or JSON projections, llms.txt, sitemap.md, AGENTS.md guidance, content negotiation, accessibility for browser agents, or any request to make a site easier for pi, OpenCode, Claude Code, ChatGPT, Perplexity, or other agent harnesses to find and use.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 60
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 1 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.