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[codex] Use compact OpenAI docs search queries (#28389)

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## Summary

Updates the bundled OpenAI Docs skill to use compact, title-like search
queries. This performs better in Codex.

## Validation

- OpenAI Docs skill validation passed
- `git diff --check`
This commit is contained in:
Konstantine Kahadze
2026-06-17 12:16:18 -07:00
committed by GitHub
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parent b668abb488
commit cca39d51ba
1 changed files with 1 additions and 1 deletions
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codex-rs/skills/src/assets/samples/openai-docs/SKILL.md
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@@ -135,7 +135,7 @@ If MCP tools fail or no OpenAI docs resources are available:
5. Leave historical docs, examples, eval baselines, fixtures, provider comparisons, provider registries, pricing tables, alias defaults, low-cost fallback paths, and ambiguous older model usage unchanged unless the user explicitly asks to upgrade them.
6. Keep SDK, tooling, IDE, plugin, shell, auth, and provider-environment migrations out of a model-and-prompt upgrade unless the user explicitly asks for them.
7. If an upgrade needs API-surface changes, schema rewiring, tool-handler changes, or implementation work beyond a literal model-string replacement and prompt edits, report it as blocked or confirmation-needed.
8. For general docs lookup, search docs with a precise query, fetch the best page and exact section needed, and answer with concise citations.
8. For general docs lookup, start with a compact, title-like search query of 2-6 essential terms. Do not turn the full user question into a keyword list. Fetch the best page and exact section needed, and answer with concise citations.
## Reference map