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Agent Skill · 研究检索

claude-code-analyzer(Claude 代码分析器)

claude-code-analyzer 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。

claude-code-analyzer 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 50,488。

总安装 612周安装 26GitHub Stars 公开资料未说明下载 214核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:claude-code-analyzer(Claude 代码分析器)
来源仓库:https://github.com/microck/ordinary-claude-skills
仓库路径:skills/claude-code-analyzer
安装命令:
npx skills add microck/ordinary-claude-skills --skill "claude-code-analyzer"
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。

AgentSkills.tonpx skills
npx skills add microck/ordinary-claude-skills --skill "claude-code-analyzer"

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

claude-code-analyzer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。支持基于关键词、任务场景或来源线索进行信息检索与筛选。

通过 npx skills add microck/ordinary-claude-skills --skill "claude-code-analyzer" 安装使用。安装前需确认权限范围、维护状态,注意是否触发联网或文件读写操作。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/claude-code-analyzer

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add microck/ordinary-claude-skills --skill "claude-code-analyzer";命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

claude-code-analyzer 怎么安装?

在终端执行 npx skills add microck/ordinary-claude-skills --skill "claude-code-analyzer"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

claude-code-analyzer 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

claude-code-analyzer 需要什么权限?

权限级别是接触敏感数据。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。

claude-code-analyzer 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

claude-code-analyzer 用的人多吗?

公开数据是累计安装 612 次,近一周安装 26 次,下载 214 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

claude-code-analyzer 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
claude-code-analyzer

Claude 代码分析器 · 本页

612—接触敏感数据MIT未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
claude-code-analyzer
description
Analyzes Claude Code usage patterns and provides comprehensive recommendations. Runs usage analysis, discovers GitHub community resources, suggests CLAUDE.md improvements, and fetches latest docs on-demand. Use when user wants to optimize their Claude Code workflow, create configurations (agents/skills/commands), or set up project documentation.

Claude Code History Analyzer

Complete workflow optimization for Claude Code through usage analysis, community discovery, and intelligent configuration generation.

Core Capabilities

This skill provides a complete Claude Code optimization workflow:

1. Usage Analysis - Extracts patterns from Claude Code history

  • Tool usage frequency
  • Auto-allowed tools vs actual usage
  • Model distribution
  • Project activity levels

2. GitHub Discovery - Finds community resources automatically

  • Skills matching your tools
  • Agents for your workflows
  • Slash commands for common operations
  • CLAUDE.md examples from similar projects

3. Project Analysis - Detects tech stack and suggests documentation

  • Package manager and scripts
  • Framework and testing setup
  • Docker, CI/CD, TypeScript configuration
  • Project-specific CLAUDE.md sections

4. On-Demand Documentation - Fetches latest Claude Code docs

  • Agents/subagents structure and configuration
  • Skills architecture and bundled resources
  • Slash commands with MCP integration
  • CLAUDE.md best practices from Anthropic teams
  • Settings and environment variables

Complete Analysis Workflow

When user asks to optimize their Claude Code setup, follow this workflow:

Step 1: Run Usage Analysis

bash scripts/analyze.sh --current-project

This automatically:

  • Extracts tool usage from JSONL files
  • Checks auto-allowed tools configuration
  • Analyzes model distribution
  • Searches GitHub for community resources (always enabled)

Step 2: Run Project Analysis

bash scripts/analyze-claude-md.sh

This detects:

  • Package manager (npm, pnpm, yarn, cargo, go, python)
  • Framework (Next.js, React, Django, FastAPI, etc.)
  • Testing setup (Vitest, Jest, pytest, etc.)
  • CI/CD, Docker, TypeScript, linting configuration

Step 3: Interpret Combined Results

Combine insights from both analyses:

Usage patterns show:

  • Tools used frequently but requiring approval → Add to auto-allows
  • Auto-allowed tools never used → Remove from config
  • Repetitive bash commands → Create slash commands
  • Complex workflows → Create dedicated agents
  • Domain-specific tasks → Build custom skills

GitHub discovery provides:

  • Similar configurations from community
  • Proven patterns for your tool usage
  • Example agents/skills/commands to adapt

Project analysis reveals:

  • Required CLAUDE.md sections
  • Framework-specific conventions to document
  • Testing and build commands to include

Step 4: Fetch Docs and Create Configurations

Based on recommendations, fetch latest docs and create:

For frequently used tools → Update auto-allows:

# Fetch settings docs
web_fetch: https://docs.claude.com/en/docs/claude-code/settings
# Update ~/.claude/settings.json

For repetitive commands → Create slash command:

# Fetch slash commands docs
web_fetch: https://docs.claude.com/en/docs/claude-code/slash-commands
# Create .claude/commands/[command-name].md

For complex workflows → Create agent:

# Fetch agents docs
web_fetch: https://docs.claude.com/en/docs/claude-code/sub-agents
# Create .claude/agents/[agent-name].md

For reusable domain knowledge → Build skill:

# Fetch skills docs
web_fetch: https://docs.claude.com/en/docs/agents-and-tools/agent-skills/overview
# Create .claude/skills/[skill-name]/SKILL.md

For project context → Write CLAUDE.md:

# Fetch CLAUDE.md best practices
web_fetch: https://www.anthropic.com/engineering/claude-code-best-practices
# Create .claude/CLAUDE.md with detected info

Example: Complete Optimization Session

User: "Help me optimize my Claude Code setup"

Claude executes:

  1. Analyze usage patterns
   bash scripts/analyze.sh --current-project

Finds: Bash tool used 150 times, Read 80 times, Write 45 times Auto-allows: None configured GitHub: Discovers community skills for TypeScript testing

  1. Analyze project structure
   bash scripts/analyze-claude-md.sh

Detects: Next.js project with Vitest, npm scripts: dev, build, test, lint Missing: CLAUDE.md doesn't exist

  1. Make recommendations

"I analyzed your Claude Code usage. Here's what I recommend:

Auto-Allows: You use Bash (150×), Read (80×), and Write (45×) constantly. Let me add them to auto-allows.

Slash Command: You run tests frequently. I'll create /test command.

CLAUDE.md: Your Next.js project needs documentation. I'll create one with your npm scripts and testing setup.

Community Resource: I found a TypeScript testing skill on GitHub that matches your workflow."

  1. Fetch docs and create configs

Fetch settings docs → Update ~/.claude/settings.json:

   {
     "autoAllowedTools": ["Bash", "Read", "Write"]
   }

Fetch slash commands docs → Create .claude/commands/test.md:

   ---
   name: /test
   description: Run tests for current file or project
   allowed-tools: [Bash]
   ---
   Run tests: !npm test

Fetch CLAUDE.md best practices → Create .claude/CLAUDE.md:

   # Project Context
   
   ## Commands
   - Dev: `npm run dev` (port 3000)
   - Build: `npm run build`
   - Test: `npm test`
   - Lint: `npm run lint`
   
   ## Tech Stack
   - Next.js 14
   - TypeScript
   - Vitest for testing
   
   ## Testing
   Run tests before commits: `npm test`
  1. Share GitHub findings

"I also found this community skill for TypeScript testing that you might find useful: [GitHub link]"

When to Use Each Tool

Use analyze.sh when:

  • User asks to "analyze my workflow"
  • Optimizing Claude Code setup
  • Finding unused auto-allows
  • Discovering community resources
  • Understanding usage patterns

Use analyze-claude-md.sh when:

  • Creating CLAUDE.md
  • Setting up new project
  • User asks "what should I document?"
  • Need project-specific recommendations

Fetch docs when:

  • Creating any configuration file
  • User asks "how do I create an agent/skill/command?"
  • Explaining configuration options
  • Need current best practices

Use GitHub discovery for:

  • Finding proven patterns
  • Learning from community
  • Getting configuration examples
  • Discovering new approaches

Critical Documentation URLs

Always fetch latest docs before creating configurations:

TypeURL
Agentshttps://docs.claude.com/en/docs/claude-code/sub-agents
Skillshttps://docs.claude.com/en/docs/agents-and-tools/agent-skills/overview
Slash Commandshttps://docs.claude.com/en/docs/claude-code/slash-commands
Settingshttps://docs.claude.com/en/docs/claude-code/settings
CLAUDE.mdhttps://www.anthropic.com/engineering/claude-code-best-practices

Key Configuration Facts (from latest docs)

Agents (.md files with YAML frontmatter):

  • Required: name, description
  • Optional: tools (comma-separated), model (sonnet/opus/haiku/inherit)
  • Location: .claude/agents/ (project) or ~/.claude/agents/ (user)
  • NOT .yaml files!

Skills (directory with SKILL.md):

  • Structure: skill-name/SKILL.md
  • Bundled resources: scripts/, references/, assets/
  • Progressive loading: metadata → instructions → resources
  • Location: .claude/skills/

Slash Commands (.md files):

  • Required: name (with / prefix)
  • Arguments: $ARGUMENTS, $1, $2
  • Optional: allowed-tools, model, argument-hint
  • Location: .claude/commands/

CLAUDE.md (project documentation):

  • Hierarchical: user-level → parent → project → nested
  • Include: commands, style guidelines, testing, issues
  • Keep concise and actionable
  • Location: .claude/CLAUDE.md

Output Formats

Usage Analysis JSON

{
  "tool_usage": [{"tool": "Bash", "count": 122}],
  "auto_allowed_tools": [{"tool": "Read", "usage_count": 49}],
  "model_usage": [{"model": "claude-sonnet-4-5-20250929", "count": 634}],
  "github_discovery": {"searches": [...]}
}

Project Analysis JSON

{
  "detected_package_manager": {"type": "npm", "scripts": ["dev", "test"]},
  "testing": {"framework": "vitest"},
  "framework": {"type": "nextjs"},
  "claude_md_suggestions": ["Document npm scripts", "Document testing"]
}

Requirements

  • jq (install: brew install jq or apt install jq)
  • Claude Code projects at ~/.claude/projects
  • Optional: gh CLI for direct GitHub search

Why This Approach Works

Comprehensive: Combines usage analysis + community discovery + project detection Current: Fetches latest docs on-demand, never stale Actionable: Provides specific, implementable recommendations Automated: GitHub discovery runs automatically, no flags needed Integrated: All tools work together for complete workflow optimization

When helping users optimize Claude Code, always run both analyses, interpret results together, fetch latest docs, and create configurations with current best practices.

平台分布

Claude Code

26.08%
按下载量换算56

Antigravity

22.52%
按下载量换算48

windsurf

17.68%
按下载量换算38

Codex

12.51%
按下载量换算27

Gemini CLI

8.17%
按下载量换算17

OpenCode

3.59%
按下载量换算8

安全审计

暂无安全审计结果可展示。

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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