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.
安装前请停下并请求确认。
请审查安装计划,并在更改文件前获得用户明确同意。
使用我的智能体安装
将此请求复制给你的智能体,其中包含权威 Skill 页面和清单。
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.你的智能体仍应展示其计划,并按安全策略请求必要确认。
Agent 可读资源
当 AI Agent、爬虫或脚本需要干净上下文,而不是读取完整页面时,请使用这些链接。
测试它
正在使用“openai-docs”。 Which OpenAI API should handle a stateful tool-using workflow?
预期结果:
Recommendation: use the documented Responses API workflow. The answer explains state handling, tool calls, limitations, and cites the relevant official guide.
正在使用“openai-docs”。 Plan our migration from a named model to a newer target.
预期结果:
- 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.
正在使用“openai-docs”。 Why is the OpenAI documentation MCP server unavailable in my local Codex client?
预期结果:
A focused diagnostic covering supported setup, enabled state, policy, authorization, refresh requirements, and evidence needed before claiming success.
安全审计
高风险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.
已确认安全问题 (3)
能力复核项 (37)
这些是真实的本地能力,对此技能可能是预期行为,因此需要复核,但不会按已确认恶意行为计分。
风险因素
🌐 网络访问 (14)
⚙️ 外部命令 (35)
📁 文件系统访问 (18)
🔑 环境变量 (14)
分享与引用此报告
分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据,不判断该 Skill 是否安全。
复制报告链接
https://skillstore.io/skills/openai-docs/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/openai-docs?utm_source=security_passport_badge)HTML 徽章
<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>嵌入卡片
<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>学术引用 (APA · BibTeX · CFF)
APA 引用
openai. (2026). openai-docs security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/openai-docs/audits/1BibTeX 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 评分
评分依据 证据置信度: 中你能构建什么
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.
试试这些提示
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.
最佳实践
- 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.
避免
- 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.