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 skills add jscraik/Agent-Skills --skill openai-docsgit clone --depth 1 https://github.com/jscraik/Agent-SkillsWrote 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/jscraik/agent-skills/openai-docs)<a href="https://agentmods.dev/skills/jscraik/agent-skills/openai-docs"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/openai-docs/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jscraik/agent-skills/openai-docs"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/openai-docs.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00098 | $0.03863 |
| Opus 5.5 | $0.00039 | $0.01545 |
| Sonnet 5.5 | $0.00020 | $0.00773 |
| Haiku 4.5 | $0.00010 | $0.00386 |
Grade A, and why
openai-docs scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
4. Run the helper directly unless you need to override the cache dir. The helper falls back to `curl` when native `fetch` is unavailable or when proxy env vars are present, so no shell-specific proxy prefix is required. This is a copy
95% 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenAI Docs
Provide authoritative, current guidance from OpenAI developer docs using the developers.openai.com MCP server. "Docs MCP" means mcp__openaiDeveloperDocs__search_openai_docs and mcp__openaiDeveloperDocs__fetch_openai_doc; for API reference, schema, parameter, or required-field questions, also use mcp__openaiDeveloperDocs__get_openapi_spec when available. Official-domain web search is fallback after those tools are unavailable or unhelpful. Broad Codex questions use the manual helper before Docs MCP. This skill also owns model selection, API model migration, and prompt-upgrade guidance.
API Key Setup
For requests to build, run, configure, debug, or implement an API-backed app, script, CLI, generator, or tool, use openai-platform-api-key first when available. After that credential gate is resolved, return here for current docs as needed.
Use this skill directly for docs-only questions, citations, model/API guidance, conceptual explanations, and examples that do not require building or running an API-backed artifact.
Workflow Configuration
Source Priority
- For Codex self-knowledge, use the Codex source route below; it owns when to use the manual helper, Docs MCP, or bounded uncertainty.
- For non-Codex OpenAI docs questions, use
mcp__openaiDeveloperDocs__search_openai_docsto find the most relevant doc pages. - For non-Codex OpenAI docs questions, fetch the relevant page with
mcp__openaiDeveloperDocs__fetch_openai_docbefore answering. If search is noisy, run a narrower Docs MCP search; when any plausible official OpenAI docs URL is known or found, try fetching that URL through Docs MCP before relying on web-search content. - For API reference, schema, parameter, or required-field questions, use
mcp__openaiDeveloperDocs__get_openapi_specwhen available to verify the API shape alongside the relevant guide or reference page. - Use
mcp__openaiDeveloperDocs__list_openai_docsonly when you need to browse or discover non-Codex pages without a clear query. - For model-selection, "latest model", or default-model questions, fetch
https://developers.openai.com/api/docs/guides/latest-model.mdfirst. If that is unavailable, loadreferences/latest-model.md. - For model upgrades or prompt upgrades, run
node scripts/resolve-latest-model-info.jsonly when the target is latest/current/default or otherwise unspecified; otherwise preserve the explicitly requested target. - Preserve explicit target requests: if the user names a target model like "migrate to GPT-5.4", keep that requested target even if
latest-model.mdnames a newer model. Mention newer guidance only as optional. - If current remote guidance is needed, fetch both the returned migration and prompting guide URLs directly. If direct fetch fails, use MCP/search fallback; if that also fails, use bundled fallback references and disclose the fallback.
What ships with it
11 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 598 B
- assets/openai-small.svg 1.1 KB
- assets/openai.png 1.4 KB
- LICENSE.txt 11 KB
- references/gpt-5p4-prompting-guide.md 18 KB
- references/latest-model.md 2.0 KB
- references/prompting-guide.md 14 KB
- references/upgrade-guide.md 11 KB
- references/upgrading-to-gpt-5p4.md 8.4 KB
- scripts/fetch-codex-manual.mjs 16 KB runs code
- scripts/resolve-latest-model-info.js 3.4 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.
- 1mo ago First seen · 168 lines · 98 tokens per session scan A 5cae604fb26d
openai-docs is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed 4d ago), licensed Apache-2.0. It adds 98 tokens to every session and 3,863 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 95% identical to openai-docs, differing in 2 lines, and is treated as a copy.
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