openai-docs
Find Current OpenAI and Codex Documentation
OpenAI products, models, and APIs change quickly, making remembered guidance unreliable. This skill retrieves current official documentation and provides concise, cited answers.
インストール前に停止して確認を求めてください。
計画を確認し、ファイルを変更する前にユーザーの明示的な同意を得てください。
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "openai-docs" from https://skillstore.io/skills/openai-docs.md and its manifest at https://skillstore.io/api/skills/openai-docs/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「openai-docs」を使用しています。 Which OpenAI API should handle a stateful tool-using workflow?
期待される結果:
Recommendation: use the documented Responses API workflow. The answer explains state handling, tool calls, limitations, and cites the relevant official guide.
「openai-docs」を使用しています。 Plan our migration from a named model to a newer target.
期待される結果:
- Target decision based on current official model guidance.
- Compatibility changes for requests, tools, reasoning, and state.
- Prompt updates only where documented behavior requires them.
- Validation checks and citations for each consequential change.
「openai-docs」を使用しています。 Why is the OpenAI documentation MCP server unavailable in my local Codex client?
期待される結果:
A focused diagnostic covering supported setup, enabled state, policy, authorization, refresh requirements, and evidence needed before claiming success.
セキュリティ監査
高リスクMost static matches are false positives caused by SVG coordinates, Markdown text, regular-expression calls, or JavaScript template literals. Confirmed behavior includes official network requests, cache writes, environment reads, shell execution, and a curl fallback. Unrestricted sources and cache destinations create SSRF, argument-injection, local-read, and overwrite risks.
確認済みのセキュリティ上の懸念 (3)
機能レビュー項目 (37)
これらは、このスキルに期待される可能性のある実際のローカル機能であるため、レビューが必要ですが、確認済みの悪意ある動作としてはカウントされません。
リスク要因
🌐 ネットワークアクセス (14)
⚙️ 外部コマンド (35)
📁 ファイルシステムへのアクセス (18)
🔑 環境変数 (14)
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/openai-docs/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/openai-docs?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/openai-docs?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/openai-docs/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/openai-docs.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>学術引用 (APA · BibTeX · CFF)
APA形式の引用
openai. (2026). openai-docs security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/openai-docs/audits/1BibTeX形式の引用
@techreport{openai-openai-docs-2026,
author = {openai},
title = {openai-docs security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/openai-docs/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "openai-docs security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "openai"
date-released: "2026-08-17"
url: "https://skillstore.io/skills/openai-docs/audits/1"
identifiers:
- type: other
value: "skillstore:openai-docs:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore スコア
このスコアの理由 証拠の信頼度: 中作成できるもの
Verify API Behavior
Confirm endpoints, request fields, SDK behavior, and error handling against current official documentation.
Plan a Model Migration
Compare targets and identify model, prompt, tool, state, compatibility, and testing changes.
Configure Codex
Find current guidance for Codex settings, skills, plugins, MCP, automations, setup, and troubleshooting.
これらのプロンプトを試す
Find current official OpenAI documentation for [topic]. Answer [question] concisely and cite the supporting page.
Compare [model A] and [model B] for [workload] using current official documentation. Evaluate quality, latency, cost, modalities, and availability.
Plan a migration from [current model] to [target model] for [application]. Identify API, prompting, tool, state, compatibility, and testing changes with citations.
Audit this OpenAI integration against current official documentation: [system description]. Identify unsupported assumptions, schema mismatches, migration risks, and the smallest verified fixes.
ベストプラクティス
- Name the exact product, model, API, or Codex feature in the request.
- Preserve explicitly requested models and state workload constraints before asking for recommendations.
- Use cited official pages for current facts and disclose any bundled fallback.
回避
- Do not ask for current pricing, availability, or limits without requiring official citations.
- Do not treat a search snippet, memory, or bundled snapshot as current documentation.
- Do not request configuration changes when only a documentation answer is needed.