A reference skill for finding current, official information about OpenAI products, APIs, models, and Codex.

Use it to answer setup and usage questions, choose or upgrade models, check API details, and troubleshoot OpenAI integrations.

It helps avoid relying on outdated or incomplete instructions when building with OpenAI technology.

openai-docs — Skill for Codex by HK-hub/AgentSkills

Install

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.

Any agent

npx skills add HK-hub/AgentSkills --skill openai-docs

Clone the repo

git clone --depth 1 https://github.com/HK-hub/AgentSkills

Made for: Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/hk-hub/agentskills/openai-docs/github.svg)](https://agentmods.dev/skills/hk-hub/agentskills/openai-docs)

Your own site

<a href="https://agentmods.dev/skills/hk-hub/agentskills/openai-docs"><img src="https://agentmods.dev/badge/skills/hk-hub/agentskills/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/hk-hub/agentskills/openai-docs"><img src="https://agentmods.dev/badge/skills/hk-hub/agentskills/openai-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,885 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod in the catalogue.

Token cost

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	$0.03885
Opus 5.5	$0.00039	$0.01554
Sonnet 5.5	$0.00020	$0.00777
Haiku 4.5	$0.00010	$0.00388

Measured 1mo ago against content hash 669a42ccf332, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/fetch-codex-manual.mjs, scripts/resolve-latest-model-info.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to openai-docs — 0 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.

openai-docs/SKILL.md · 168 lines

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_docs to find the most relevant doc pages.
For non-Codex OpenAI docs questions, fetch the relevant page with mcp__openaiDeveloperDocs__fetch_openai_doc before 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_spec when available to verify the API shape alongside the relevant guide or reference page.
Use mcp__openaiDeveloperDocs__list_openai_docs only 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.md first. If that is unavailable, load references/latest-model.md.
For model upgrades or prompt upgrades, run node scripts/resolve-latest-model-info.js only 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.md names 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.

Read the full file on GitHub · 168 lines

Files

What ships with it

9 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.

Changes

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 669a42ccf332

Subscribe to this mod's changes

openai-docs is a skill published in the GitHub repository HK-hub/AgentSkills (6 stars, last pushed 2mo ago), licensed MIT. It adds 98 tokens to every session and 3,885 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 100% identical to openai-docs, differing in 0 lines, and is treated as a copy.

Claude Code agent-skills ai-agent mcp opencode prompt-engineering

spec-brainstorm

Conversational design workshop for substantial work. Interviews the human one question at a time, explores 2-3 approaches with trade-offs, and presents the design section by section for approval before writing only design.md, then stops. Combines requirements discovery with codebase research and architecture design.…

martinffx/atelier · 95 tokens

spec-plan

Write approved implementation plans in one of two modes. Explicit Inline mode creates a conversational plan for bounded work. Spec-backed Plan converts an approved design.md into plan.json. Both modes stop after producing their plan output. Trigger after atelier-orchestrator selects a mode, when the user asks to plan…

martinffx/atelier · 90 tokens

spec-implement

Continue an approved Spec-backed workflow when the user says "implement", "go", "start", or "do it". After Codex Plan Mode, persist the next missing design.md or plan.json artifact and stop. When both artifacts exist, execute plan.json with TDD and report between batches.

martinffx/atelier · 63 tokens

atelier-orchestrator

Skill routing and workflow orchestration. Selects Inline Plan or Spec-backed Plan, routes to the correct workflow skill, and manages transitions between phases. Use when starting any conversation or task to determine which planning mode and skill apply.

martinffx/atelier · 52 tokens

oracle-codebase-design

Shared vocabulary and principles for designing deep modules. Use when designing or changing a module's interface, deciding where a seam goes, handling untrusted input at the edges, choosing the level to test at, naming modules, or making code more testable. Also use when another skill needs the deep-module vocabulary.

martinffx/atelier · 66 tokens

atelier-setup

Configure a repository for Atelier's development workflow. Use only when explicitly invoked; inspect existing guidance, issue-tracker and domain-document conventions, preview the proposed configuration, and write only after approval. It does not install Atelier or initialize external tooling.