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 seaworld008/Commonly-used-high-value-skills --skill openai-docsgit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-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/seaworld008/commonly-used-high-value-skills/openai-docs)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/openai-docs"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-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/seaworld008/commonly-used-high-value-skills/openai-docs"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/openai-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00034 | $0.01199 |
| Opus 5 | $0.00017 | $0.00600 |
| Sonnet 5 | $0.00007 | $0.00240 |
| Haiku 4.5 | $0.00003 | $0.00120 |
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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 128 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. Prefer the official documentation connector exposed by the current client. If no such connector is available or it returns no meaningful results, fall back to web search restricted to official OpenAI domains.
When to Use
Use this skill when the user asks about:
- OpenAI APIs or SDKs
- model capabilities, limits, or migration guidance
- Codex, Responses API, Chat Completions, Realtime, Agents SDK, or Apps SDK
- official OpenAI setup instructions where current docs matter
Do not use this skill when:
- the task is general coding help with no OpenAI product dependency
- the user only wants speculative comparison without needing official guidance
Usage
Preferred flow:
search official docs
-> fetch exact page or section
-> answer with citation
-> only fall back to official-domain web search if MCP docs fail
Quick start
- Use the connector's documentation search operation to find relevant pages.
- Use its page-fetch operation to retrieve exact sections for accurate paraphrases and citations.
- Use its browse/list operation only when no precise query is available.
Named Model and Instruction Audits
Preserve an explicitly named model, including GPT-6 Astra; do not substitute a
different model or infer availability from the repository's examples.
Search the exact model and topic, then fetch the relevant official page before
changing model-specific guidance. Use developers.openai.com,
platform.openai.com, and learn.chatgpt.com for current OpenAI documentation.
For a prompt, AGENTS.md, or skill audit, identify the actual behavior problem: unnecessary approval pauses, overbroad skill triggers, contradictory authority, excessive context loading, or verification that repeats without new evidence. Simplify the instruction causing that problem while retaining task acceptance criteria, user-owned data protections, and host permission boundaries.
Use the GPT-6 Astra model guide for Astra-specific behavior, and Build skills for skill discovery and progressive disclosure. Recheck these sources when used. Treat concise prompts and risk-based verification as design choices to evaluate; static lint does not establish improved latency, cost, or task success.
What ships with it
4 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.
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.
- 3d ago Changed · +20 lines · -40 tokens per session ce90cced2efb
- 7d ago First seen · 108 lines · 74 tokens per session scan A 31d4ef364682
openai-docs is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 4d ago), licensed MIT. It adds 34 tokens to every session and 1,199 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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