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Agent Skill · 研究检索

skill-auditor-plus(技能审核员加)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

skill-auditor-plus 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 33,416。

总安装 2,352周安装 120GitHub Stars 公开资料未说明下载 824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-0
版本
1.0.0

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:skill-auditor-plus(技能审核员加)
来源仓库:https://github.com/caleb-niu007/skill-auditor-plus
安装命令:
openclaw skills install skill-auditor-plus
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install skill-auditor-plus

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。

用于辅助安全审计和凭据风险排查,适合让 Agent 检查依赖风险和认证流程。适用于 AgentSkills 的安全、性能和质量全面审核。支持安装前检查、开发过程审核和设备状态监控。使用时不能将工具输出直接作为最终结论,需人工确认权限边界。

skill-auditor-plus 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

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 OpenClaw;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 openclaw skills install skill-auditor-plus;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

skill-auditor-plus 怎么安装?

在终端执行 openclaw skills install skill-auditor-plus。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-auditor-plus 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

skill-auditor-plus 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。

skill-auditor-plus 是免费的吗?

来源标注的许可证是 MIT-0。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。

skill-auditor-plus 用的人多吗?

公开数据是累计安装 2,352 次,近一周安装 120 次,下载 824 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。

skill-auditor-plus 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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。
  • 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
skill-auditor-plus

技能审核员加 · 本页

2,352—接触敏感数据MIT-0通过

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
skill-auditor-plus
description
Security, performance, and quality auditing for AgentSkills. Use when reviewing skills before installation, auditing during development, checking installed skills for risks, optimizing performance, or ensuring best practices compliance. Automated scanning for dangerous operations, credential leaks, token bloat, and quality issues.

Skill Auditor Plus

Transform skill development from "hope it works" to "confidently secure and optimized". This skill provides automated auditing for AgentSkills across three dimensions: security, performance, and quality.

Why Skill Auditing Matters

  • Security: Skills run with Codex's permissions - a vulnerable skill can delete files, leak credentials, or execute arbitrary commands
  • Performance: Large skills consume context window, reducing Codex's effectiveness for the actual task
  • Quality: Well-structured skills are easier to maintain, more reliable, and provide better user experience

Core Capabilities

1. Security Audit

Automatically scans for:

  • Dangerous operations: File deletion (rm -rf), system commands (eval, exec), code execution
  • Credential leaks: Hardcoded API keys, secrets, tokens, passwords
  • Network requests: External API calls that may be unsafe
  • Suspicious patterns: Pastebin links, URL shorteners, risky file paths
  • Injection vulnerabilities: Unsafe user input handling

Severity levels:

  • 🔴 High: File deletion, credential leaks, system command execution
  • 🟡 Medium: Network requests, code execution, risky file paths
  • 🟢 Low: Suspicious URLs, file writes

2. Performance Audit

Analyzes skill efficiency:

  • Token usage: Frontmatter (<100 tokens), body (<5000 tokens), line count (<500 lines)
  • Context optimization: Duplicate content, unreferenced files, large reference files
  • Script efficiency: Execute permissions, code duplication
  • Recommendations: Split into references/, use scripts for repeated code

Key metrics:

  • Frontmatter token count (target: <100)
  • Body token count (target: <5000)
  • Line count (target: <500)
  • Reference file sizes (target: <10k tokens each)

3. Quality Audit

Checks best practices compliance:

  • SKILL.md structure: Proper frontmatter, complete description
  • File organization: No unnecessary files (README.md, INSTALLATION_GUIDE.md, etc.)
  • Documentation: Clear usage instructions, examples, error handling
  • Progressive disclosure: Efficient context loading with references/

Quick Start

Audit a skill before installation

# Clone or download the skill
cd skill-auditor-plus

# Run security audit
python3 scripts/security_audit.py /path/to/skill-to-audit

# Run performance audit
python3 scripts/performance_audit.py /path/to/skill-to-audit

During skill development

# After making changes, audit your skill
python3 scripts/security_audit.py /path/to/your-skill
python3 scripts/performance_audit.py /path/to/your-skill

# Fix issues, then re-audit
# Iterate until no high/medium severity issues remain

Batch audit installed skills

# Audit all skills in a directory
for skill in /path/to/skills/*; do
    echo "Auditing $skill"
    python3 scripts/security_audit.py "$skill"
    python3 scripts/performance_audit.py "$skill"
done

Understanding Audit Reports

Security Audit Report

{
  "total_issues": 5,
  "high_severity": 1,
  "medium_severity": 2,
  "low_severity": 2,
  "issues": [
    {
      "category": "credential_leaks",
      "severity": "high",
      "file": "scripts/api_client.py",
      "line": 15,
      "pattern": "api_key\\s*=\\s*[\"'][\\w-]+[\"']",
      "matched_text": "api_key = \"sk-1234567890\"",
      "context": "api_key = \"sk-1234567890\""
    }
  ]
}

What to do:

  1. Review each issue by severity (high → medium → low)
  2. For credential leaks: Use environment variables
  3. For dangerous operations: Add warnings or safety checks
  4. For network requests: Document purpose and add error handling

Performance Audit Report

{
  "skill_md_stats": {
    "frontmatter_tokens": 85,
    "body_tokens": 7500,
    "total_tokens": 7585,
    "line_count": 520
  },
  "issues": [
    {
      "severity": "high",
      "category": "body_too_long",
      "message": "Body is too long (7500 tokens, should be < 5000)",
      "suggestion": "Split content into references/ files and link from SKILL.md"
    }
  ]
}

What to do:

  1. Frontmatter too long: Move detailed descriptions to body
  2. Body too long: Split into references/ files, link from SKILL.md
  3. Too many lines: Break into smaller sections, use references/
  4. Large reference files: Split further or add grep patterns for searching

Best Practices

See best-practices.md for comprehensive guidelines on:

  • Security best practices (credential management, input validation, safe operations)
  • Performance optimization (token efficiency, progressive disclosure, script usage)
  • Quality standards (documentation, file organization, structure)

Advanced Usage

Custom Security Patterns

Edit scripts/security_audit.py to add custom patterns:

DANGEROUS_PATTERNS = {
    'custom_risk': [
        r'your_custom_regex_pattern',
    ],
}

Performance Thresholds

Edit scripts/performance_audit.py to adjust thresholds:

if stats['body_tokens'] > 5000:  # Change this value
    issues.append({...})

Integration with CI/CD

Add to your CI pipeline:

# .github/workflows/skill-audit.yml
name: Skill Audit
on: [push, pull_request]
jobs:
  audit:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - name: Security Audit
        run: |
          python3 skill-auditor-plus/scripts/security_audit.py .
      - name: Performance Audit
        run: |
          python3 skill-auditor-plus/scripts/performance_audit.py .

Resources

scripts/

  • security_audit.py: Automated security scanning for dangerous operations, credential leaks, and suspicious patterns
  • performance_audit.py: Performance analysis for token usage, context optimization, and best practices compliance

references/

  • best-practices.md: Comprehensive guide to AgentSkill development best practices, including security, performance, and quality standards

Troubleshooting

"Module not found" errors

Install required dependencies:

pip install pyyaml  # if needed

False positives in security audit

If the scanner flags safe code:

  1. Review the pattern match
  2. Add comments explaining why it's safe
  3. Consider refactoring to avoid the pattern

Performance audit shows large body

This is normal for complex skills. Split content into references/:

  1. Move detailed sections to references/feature-name.md
  2. In SKILL.md, add: "See FEATURE for details"
  3. Keep only overview and navigation in SKILL.md

Contributing

Found a bug or want to add features? This skill is open source. Contributions welcome!

License

MIT License - See LICENSE file for details

平台分布

OpenClaw

81.55%
按下载量换算672

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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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