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研究检索敏感数据github未标认证来源可访问许可证需确认审计提醒

code-context代码 context

Agent Skill

code-context 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

214

周安装

9

GitHub Stars

537

下载量

75
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:code-context(代码 context)
来源仓库:https://github.com/fradser/dotclaude
仓库路径:skills/code-context
安装命令:
npx skills add https://github.com/fradser/dotclaude --skill code-context
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/fradser/dotclaude --skill code-context

简介

提供五种代码上下文检索方法,隔离 token 防止误调用。

  • 支持公共仓库、文档、代码搜索等多种来源。
  • 通过 Task 代理调用 DeepWiki 或 Context7 获取概要信息。
  • 关键操作必须由子代理完成,主流程不直接访问外部资源。
  • code-context 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Code Context Retrieval

This skill provides 5 methods for retrieving code context. Select methods based on the target: public GitHub repos, library docs, code search, direct inspection, or post-clone web enrichment.

Token Isolation (Critical)

Never run any external lookup in the main context. Always spawn Task agents:

  • DeepWiki: Agent calls read_wiki_structure / read_wiki_contents / ask_question, extracts architecture summary and key relationships, returns concise overview.
  • Context7: Agent calls resolve-library-id then query-docs, extracts the minimum viable API surface and usage examples, returns copyable snippets with version notes.
  • Exa: Agent calls get_code_context_exa, extracts minimum viable snippets, deduplicates near-identical results (mirrors, forks, repeated StackOverflow answers), returns copyable snippets + brief explanation.
  • Git clone: Agent clones to /tmp/, reads entry points and core modules, runs rm -rf cleanup, returns file structure summary and key patterns.
  • Web Search+Fetch: Agent runs WebSearch with version-anchored queries derived from clone findings, calls WebFetch on high-signal URLs, returns only validated insights cross-referenced against cloned code.

Main context stays clean regardless of search volume. Only final summaries return to the caller.

Method 1: DeepWiki (AI-powered repo documentation)

Best for: Well-known public GitHub repositories where you need architecture overview, component explanations, or high-level understanding fast.

Tools: read_wiki_structure, read_wiki_contents, ask_question

Process:

  1. Call read_wiki_structure with the owner/repo (e.g., "facebook/react") to get topic list
  2. Call read_wiki_contents for relevant topics, or ask_question for targeted queries
  3. Use when you need: architecture diagrams, component relationships, design decisions

Strengths: Zero setup, instant AI-summarized documentation, good for onboarding to unfamiliar repos.

Limitations: Only works for public GitHub repos; coverage varies by project popularity.

Method 2: Context7 (library documentation)

Best for: Getting up-to-date API docs, usage examples, and version-specific documentation for npm/pip packages and frameworks.

Tools: resolve-library-id, query-docs

Process:

  1. Call resolve-library-id with the library name (e.g., "react", "fastapi") to get the canonical ID
  2. When the user specifies a version (e.g., "react@18"), select the matching version from the versions list returned by resolve-library-id and append it to the library ID path (e.g., /facebook/react/18.3.1)
  3. Call query-docs with libraryId and query — these are the only two parameters

Query tips: Be specific -- "useCallback dependency array" beats "react hooks". Include the framework version when known.

Version pinning: Encode version into the library ID path (e.g., /vercel/next.js/v14.3.0-canary.87), not as a separate parameter. Use the versions list from resolve-library-id to pick the correct slug.

Strengths: Always current docs, supports version pinning, covers thousands of libraries, excellent for API reference.

Limitations: Requires the library to be indexed; less useful for internal/private packages.

Method 3: Exa Code Search (web-wide code examples)

Best for: Finding real-world usage patterns, StackOverflow-style answers, GitHub Gist examples, and code snippets from across the web.

Tool: get_code_context_exa

Setup: Works without an API key (free tier with rate limits). For higher limits, set the EXA_API_KEY environment variable.

Process:

  1. Call get_code_context_exa with a precise query
  2. Set tokensNum based on need: 3000 for quick examples, 8000 for comprehensive patterns
  3. Verify publication dates on results; prefer recent sources

Query writing guidance:

  • Include the language or framework: "TypeScript React" not just "React"
  • Include the version when relevant: "Next.js 14 app router"
  • Use exact identifiers: "useServerAction" not "server action hook"
  • Add the pattern type: "example", "error handling", "migration guide"
  • Example: "TypeScript Next.js 14 app router server action error handling example"

Strengths: Finds diverse real-world examples, not limited to official docs, surfaces community solutions.

Limitations: Results may be outdated; always check publication dates and verify against official docs.

Method 4: Git Clone (direct code inspection)

Best for: Private repositories, detailed implementation review, running local analysis, or when other methods lack depth.

Process:

  1. Run git clone <repo-url> /tmp/<repo-name> --depth=1 to fetch the code
  2. Read key files: entry points, configuration, core modules
  3. Use Glob to map structure; use Grep to search patterns
  4. Clean up when done: rm -rf /tmp/<repo-name>

Strengths: Full code access, works with private repos (with credentials), enables static analysis tools.

Limitations: Requires network access and disk space; slow for large repos; credentials needed for private repos.

Method 5: Web Search + Fetch (post-clone enrichment)

Best for: Enriching findings from a git clone with changelogs, issue discussions, blog posts, and migration guides that live outside the repository itself.

Tools: WebSearch, WebFetch

When to apply: Use after completing Method 4. The clone gives you the code; this method gives you the *why* and *what changed*.

Process:

  1. Derive targeted queries from clone findings — use exact identifiers, error strings, or design patterns found in the source
  2. Call WebSearch with query set to a precise, version-anchored string (e.g., "<library> <version> breaking change <symbol>")
  3. For each high-signal result, call WebFetch with url (from search results) and a focused prompt to extract only the relevant section
  4. Cross-reference fetched content against the cloned code to validate accuracy
  5. Discard results older than 2 years unless the topic is stable/foundational

Query patterns:

  • Changelogs: "<repo-name> CHANGELOG v<version>" or "<repo-name> release notes"
  • Design rationale: "<repo-name> <concept> why OR rationale site:github.com"
  • Known issues: "<repo-name> <symbol or pattern> issue OR bug site:github.com"
  • Migration: "<repo-name> migrate from <old-version> to <new-version>"

Strengths: Surfaces context that never appears in source code — deprecation notices, upstream issue threads, author blog posts, community migration experiences.

Limitations: Results may be stale or inaccurate; always validate fetched claims against the actual cloned code. Rate-limited without API key.

Method Selection Guide

ScenarioPrimary MethodFallback
"How does X library work?"Context7DeepWiki
"Understand the architecture of Y repo"DeepWikiGit Clone
"Find examples of Z pattern"ExaContext7
"Inspect private/internal repo"Git Clone-
"What changed in v3 of library?"Context7Exa
"How are modules connected?"DeepWikiGit Clone
"Why was this design decision made?"Git Clone → Web Search+FetchDeepWiki
"What broke between versions?"Web Search+FetchContext7

Combining Methods

For comprehensive context, combine methods:

  1. DeepWiki for architecture overview
  2. Context7 for specific API details
  3. Exa for community usage patterns
  4. Git Clone for implementation details when needed

Always prefer non-destructive read-only operations. When cloning, use /tmp and clean up after.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.79%
按下载量换算28

Claude

31.15%
按下载量换算23

Cursor

16.48%
按下载量换算12

Gemini CLI

9.6%
按下载量换算7

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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