openai-docs
openai-docs is a Doc lookup & research skill for AI agents, published by openai in the skills repository on GitHub. Skillspace rates openai-docs D (68/100) and it passed the safety scan; a judge model has also reviewed it.
Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 27,069
Placed #4 of 6 in the judged category final for Doc lookup & research.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #4 of 6 in the judged category final for Doc lookup & research.
- Trigger
72 72 - Instructions
85 85 - Specificity
88 88 - Safety
85 85 - Disclosure
75 75 - Maintenance
80 80
Sophisticated tool-priority routing for OpenAI docs and Codex self-knowledge, undercut by an overlong run-on trigger description.
Not checked yet
- 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
Also published in 1 other repo
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