Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/extracurricular-ai/codex-rewind/openai-docsnpx skills add extracurricular-ai/codex-rewind --skill openai-docsgit clone --depth 1 https://github.com/extracurricular-ai/codex-rewindWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/extracurricular-ai/codex-rewind/openai-docs)<a href="https://agentmods.dev/skills/extracurricular-ai/codex-rewind/openai-docs"><img src="https://agentmods.dev/badge/skills/extracurricular-ai/codex-rewind/openai-docs.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00113 | $0.01103 |
| Opus 5 | $0.00056 | $0.00551 |
| Sonnet 5 | $0.00023 | $0.00221 |
| Haiku 4.5 | $0.00011 | $0.00110 |
Grade A, and why
openai-docs scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to openai-docs — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenAI Docs
Provide current, cited OpenAI product, API, model, and Codex guidance. Read zero or one primary reference.
First substantive action: Search the user's exact requested official OpenAI documentation topic and any explicitly named model using a concise, topic-specific query of 2-6 essential terms. When an already-available direct official documentation search and page-retrieval capability is present, use it first: search, then fetch or open the matching official page before general web search. Otherwise, immediately use official-domain web search, then actually open or fetch the relevant official page. Complete this source order before reading a reference, inspecting local or repository files, running a Codex manual or model resolver, drafting a plan, or answering from memory. Use the actual fetched page, not a search snippet or an unopened link. If one official search or page does not establish the answer, search another appropriate official domain and actually open or fetch the result. Preserve the exact requested model; never substitute a newer model.
Only exception: An explicitly requested, genuinely broad, cross-topic Codex setup, orientation, or system-map synthesis may use the manual first when shell execution and an allowed temporary cache are available. A specific Codex feature, setting, command, error, model, or requested citation remains docs-first. Mixed Chat/Work/Codex comparisons are official documentation questions, not manual-first Codex requests.
For generic software tasks, answer the software task directly. OpenAI implementation, debugging, SDK, API, prompting, agent, and eval requests are not generic.
For a straightforward factual or citation-only request, follow the source order and do not read a route reference. This includes straightforward API facts, ChatGPT Work or mixed Chat/Work/Codex comparisons, model tiers, aliases, Pro mode, reasoning settings, factual migration baselines, and narrow Codex facts. Prioritize learn.chatgpt.com for ChatGPT Work.
What ships with it
16 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 370 B
- assets/openai-small.svg 1.1 KB
- assets/openai.png 1.4 KB
- LICENSE.txt 11 KB
- references/codex-self-knowledge.md 7.2 KB
- references/latest-model.md 2.0 KB
- references/mcp-diagnostics.md 2.3 KB
- references/model-migration.md 4.9 KB
- references/model-selection.md 1.3 KB
- references/official-docs.md 3.3 KB
- references/prompting-guide.md 15 KB
- references/upgrade-guide.md 1.0 KB
- references/upgrading-to-gpt-5p6-sol.md 23 KB
- scripts/fetch-codex-manual.mjs 16 KB runs code
- scripts/resolve-latest-model-info 1.0 KB
- scripts/resolve-latest-model-info.cjs 3.8 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 39 lines · 113 tokens per session scan A 7cb8fa1b2a0c
openai-docs is a skill published in the GitHub repository extracurricular-ai/codex-rewind (45 stars, last pushed 4d ago), licensed Apache-2.0. It adds 113 tokens to every session and 1,103 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to openai-docs, differing in 2 lines, and is treated as a copy.
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