Find and index official OpenAI developer documentation with precise section citations.
npx skills add https://github.com/UntLab/codex --skill openai-docs-untlab
Please help me install this Agent Skill. Skill: openai-docs Source: https://github.com/UntLab/codex/tree/main/config/codex-skills/openai-docs Command: npx skills add https://github.com/UntLab/codex --skill openai-docs-untlab
This Skill provides authoritative, up-to-date OpenAI developer documentation with citations, loaded via the MCP server to guide users through OpenAI product usage, model-selection decisions, and GPT-5.4 upgrade guidance.
Use the MCP server to locate and quote the official OpenAI documentation relevant to the user's query.
High-intent search queries and answers about installing and using this skill.
To find up-to-date OpenAI developer documentation with citations, use this Skill to query the MCP server for official docs. It locates authoritative sources, applies them to model-selection scenarios, and returns results with precise section anchors.
The best way to get GPT-5.4 upgrade guidance is to request it through the MCP server lookup. This Skill prioritizes current OpenAI docs and bundled references to provide safe, authoritative upgrade instructions with precise citations.
Model-selection guidance works by prioritizing MCP server results from current OpenAI docs, supplemented by bundled references as helper context. It ensures you receive authoritative documentation sourced directly from official domains for accurate decisions.
Bundled references are used only as helper context, not as the primary source for OpenAI docs. The Skill prioritizes MCP server results and falls back to web search only when MCP is unavailable, ensuring documentation remains authoritative.
When MCP results are unavailable for OpenAI documentation, the Skill falls back to web search to locate official domains. It then applies bundled references as helper context to still deliver up-to-date, cited guidance for your queries.
Yes, the OpenAI docs lookup returns results with precise section anchors suitable for concise quoting. This ensures you can accurately reference specific parts of the official developer documentation retrieved via the MCP server.
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