Skill安全审计

SKILLAI 工具
AI 工具 未标注权限 许可证不明确
安装这个技能

对任意 AI Skill / Agent 的 System Prompt、工具配置、依赖引用进行红队级安全审计(SHA-256:1c6ab8629bdf1a3ff99f440a67fe94f60fdb664804552db2eced0dd4425b8b12)。此技能应在以下场景使用:上线前安全审查、检查技能是否存在提示词注入/越狱风险、评估工具权限是否过宽、扫描敏感信息硬编码、审阅输出二次注入与供应链可信度、漏洞模式库与 CVE 关联匹配、中国《生成式人工智能服务管理暂行办法》合规检查。触发词:安全审计、审计这个skill、安全检查、红队审查、prompt注入检测、上线前审查、加固建议、CVE检查、合规审查。

一句话选型结论

按资料字段整理

Skill安全审计是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_fe68ea1d/skill-security-auditor
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_fe68ea1d仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791526391
正文体量13.6 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Skill安全审计当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

13.6 KB
模型实际读到的说明书原文,来自技能仓库

Skill Security Auditor

Description

The Skill Security Auditor is a command-line tool that performs pattern-based security analysis of ClawHub skills before installation. Given the recent discovery of 341+ malicious skills (ClawHavoc campaign) that distributed Atomic Stealer (AMOS) and stole cryptocurrency credentials, this tool provides essential pre-installation threat detection.

What this skill provides:
- ✅ Bash script (analyze-skill.sh) for local security analysis
- ✅ Threat intelligence database (patterns/malicious-patterns.json)
- ✅ Pattern matching against 20+ known malicious indicators
- ✅ Risk scoring system (0-100 scale)
- ✅ Detailed audit reports with recommendations

How to use it:
1. Install this skill from ClawHub
2. Run the analyze-skill.sh script against any skill (by slug or local file)
3. Review the risk assessment and findings
4. Make informed decision about installation

Use this tool when:
- About to install a new skill from ClawHub
- Investigating suspicious skill behavior
- Performing security due diligence on community skills
- Auditing your currently installed skills

This tool does NOT:
- ❌ Automatically scan skills (you run it manually)
- ❌ Block installations (it's advisory only)
- ❌ Access VirusTotal API (use ClawHub's web interface for that)
- ❌ Guarantee 100% detection (defense in depth recommended)

Core Capabilities

1. Malicious Pattern Detection

Scans for known malicious patterns from the ClawHavoc campaign:
- Fake prerequisite installations (openclaw-agent.zip, openclaw-setup.exe)
- Suspicious download commands in SKILL.md
- Hidden payload execution in metadata
- Social engineering language patterns
- Unauthorized external binary downloads

2. Credential Leak Analysis

Identifies potential credential exposure vectors:
- Hardcoded API keys, tokens, passwords in SKILL.md
- Suspicious environment variable exfiltration
- Unencrypted sensitive data transmission
- Overly broad permission requests
- Credential harvesting patterns

3. Dependency Chain Validation

Analyzes skill dependencies for:
- Unverified binary requirements
- Suspicious GitHub repository sources
- External script execution
- Network connections to unknown hosts
- Nested dependency exploitation

4. C2 Infrastructure Detection

Checks for Command & Control indicators:
- Known malicious IP addresses (e.g., 91.92.242.30 from ClawHavoc)
- Suspicious domain patterns
- Encoded communication endpoints
- Data exfiltration channels
- Beaconing behavior patterns

5. SKILL.md Structure Validation

Verifies skill integrity:
- Proper YAML frontmatter structure
- Metadata consistency
- Description clarity vs actual behavior
- Permission justification
- Author verification (GitHub account age)

Security Scoring System

Each analyzed skill receives a Risk Score (0-100):

  • 0-20: ✅ SAFE - No significant security concerns
  • 21-40: ⚠️ LOW RISK - Minor concerns, proceed with caution
  • 41-60: 🟡 MEDIUM RISK - Multiple red flags, manual review recommended
  • 61-80: 🔴 HIGH RISK - Serious concerns, do NOT install without expert review
  • 81-100: ☠️ CRITICAL - Malicious indicators detected, AVOID installation

Usage Instructions

This skill provides a bash script (analyze-skill.sh) that performs pattern-based security analysis of ClawHub skills. The analysis runs locally using the included threat intelligence database.

Installation & Setup

# Install the skill from ClawHub
npx clawhub install skill-security-auditor

# Make the analyzer executable
chmod +x ~/.openclaw/skills/skill-security-auditor/analyze-skill.sh

# Optional: Create alias for convenience
echo 'alias audit-skill="~/.openclaw/skills/skill-security-auditor/analyze-skill.sh"' >> ~/.bashrc
source ~/.bashrc

Audit a Skill Before Installing

Method 1: Analyze by slug (automatic fetch from ClawHub)

~/.openclaw/skills/skill-security-auditor/analyze-skill.sh --slug bitcoin-tracker

# Example output:
# ============================================
#          SECURITY AUDIT REPORT
# ============================================
# 
# Risk Score: 85/100 - ☠️ CRITICAL
# ...

Method 2: Analyze local file

# Download skill first
curl -s "https://clawhub.ai/api/skills/bitcoin-tracker/latest" > /tmp/skill.md

# Then analyze
~/.openclaw/skills/skill-security-auditor/analyze-skill.sh --file /tmp/skill.md

Audit All Installed Skills

# Scan all skills in your workspace
for skill in ~/.openclaw/skills/*/SKILL.md; do
  echo "Checking: $(basename $(dirname $skill))"
  ~/.openclaw/skills/skill-security-auditor/analyze-skill.sh -f "$skill"
done

Quick Manual Security Check

# Fast grep-based pattern matching (no full analysis)
grep -iE "(prerequisite.*download|91\.92\.242\.30|curl.*\|.*bash)" SKILL.md

Detection Heuristics

🚨 CRITICAL Red Flags (Auto-fail)

  1. Fake Prerequisites Section
    - Matches: "Prerequisites", "Setup Required", "Installation Steps"
    - Contains: Download links to .zip, .exe, .dmg files
    - Example: "Download openclaw-agent.zip from https://..."

  2. Known Malicious Infrastructure
    - IP: 91.92.242.30 (ClawHavoc C2)
    - Domains: Newly registered or suspicious TLDs
    - Encoded URLs or base64 obfuscation

  3. Credential Harvesting
    - Regex patterns for API keys: (api[_-]?key|token|password)\s*[:=]\s*['\"][^'\"]+['\"]
    - SSH key access requests
    - Wallet private key patterns

  4. Unauthorized Code Execution
    - curl | bash or wget | sh patterns
    - Hidden base64 encoded commands
    - Dynamic eval() or exec() on external input

⚠️ Warning Indicators (Score increase)

  1. Suspicious Dependencies
    - Binary requirements without clear justification
    - Dependencies from unverified sources
    - Excessive permission requests

  2. Obfuscation Techniques
    - Heavily encoded strings in metadata
    - Minified or obfuscated JavaScript/Python
    - Redirect chains in URLs

  3. Social Engineering Language
    - Urgency phrases: "Install immediately", "Limited time"
    - Authority claims: "Official OpenClaw", "Verified by Anthropic"
    - Fear tactics: "Your system is at risk without this"

✅ Positive Security Indicators

  1. Verified Author
    - GitHub account > 1 year old
    - Multiple well-rated skills
    - Active community engagement

  2. Transparent Dependencies
    - Clear binary requirements with official sources
    - Open-source tool dependencies
    - Well-documented permission needs

  3. Code Quality
    - Clean, readable SKILL.md
    - Proper error handling
    - No unnecessary network calls

Audit Report Format

## Security Audit Report
**Skill**: {skill-name}
**Author**: {author}
**Version**: {version}
**Audit Date**: {date}

### Risk Score: {score}/100 - {RISK_LEVEL}

### Critical Findings:
- {finding 1}
- {finding 2}

### Warning Indicators:
- {warning 1}
- {warning 2}

### Positive Indicators:
- {positive 1}
- {positive 2}

### Recommendations:
{INSTALL | DO NOT INSTALL | REVIEW MANUALLY}

### Detailed Analysis:
{Deep dive into specific concerns}

### VirusTotal Link:
{If available from ClawHub}

Integration with VirusTotal

Important: This skill does NOT directly access VirusTotal's API. Instead, VirusTotal integration is available through ClawHub's web interface via their partnership with VirusTotal.

To check VirusTotal results for a skill:

  1. Visit the skill's ClawHub page: https://clawhub.ai/skills/{skill-slug}
  2. Look for the VirusTotal scan results on the skill's page
  3. ClawHub automatically scans published skills via their VirusTotal partnership

This analyzer focuses on pattern-based threat detection. It complements (but does not replace) ClawHub's VirusTotal scanning.

Recommended Security Workflow

  1. Run this analyzer first - Pattern-based detection (local, instant)
  2. Check ClawHub's VirusTotal results - Binary/file reputation (if available)
  3. Manual code review - Final verification for critical use cases
# Step 1: Pattern analysis (local)
~/.openclaw/skills/skill-security-auditor/analyze-skill.sh -s suspicious-skill

# Step 2: Visit ClawHub page for VirusTotal results
# https://clawhub.ai/skills/suspicious-skill

# Step 3: Manual review if needed
curl -s "https://clawhub.ai/api/skills/suspicious-skill/latest" > skill.md
less skill.md

Example Workflow

Scenario: User wants to install a skill called solana-wallet-tracker

Step 1: Run Security Analysis

$ ~/.openclaw/skills/skill-security-auditor/analyze-skill.sh -s solana-wallet-tracker

Fetching skill 'solana-wallet-tracker' from ClawHub...
✓ Skill fetched successfully

Analyzing skill content...

============================================
         SECURITY AUDIT REPORT
============================================

Risk Score: 95/100 - ☠️ CRITICAL

============================================

☠️ CRITICAL FINDINGS:
  CLAW-001: Fake Prerequisites - ClawHavoc Campaign [+50 points]
  └─ Matches the ClawHavoc campaign pattern of fake prerequisites requesting malicious binary downloads
  CLAW-002: Known C2 Infrastructure [+50 points]
  └─ IP address used in ClawHavoc campaign for C2 communications

============================================
RECOMMENDATION:
DO NOT INSTALL. Malicious patterns detected matching known attack campaigns.
============================================

Step 2: Decision
- ☠️ CRITICAL Risk → DO NOT INSTALL
- Report skill to ClawHub moderators
- Look for safe alternatives

Step 3: Verify on ClawHub (optional)

# Visit skill page to check VirusTotal results
open "https://clawhub.ai/skills/solana-wallet-tracker"

Advanced Features

1. Behavioral Analysis (Future Enhancement)

  • Sandbox execution monitoring
  • Network traffic analysis
  • File system access patterns

2. Community Threat Intelligence

  • Share malicious skill signatures
  • Collaborative IOC database
  • Reputation scoring system

3. Continuous Monitoring

  • Auto-audit skills on updates
  • Alert on new security advisories
  • Periodic re-scanning of installed skills

False Positive Mitigation

To minimize false positives:

  1. Contextual Analysis: Binary requirements for legitimate tools (e.g., gh for GitHub CLI) are validated against known safe sources
  2. Whitelisting: Verified authors and established skills get trust bonuses
  3. Human Review Option: Always provide detailed reasoning for security decisions
  4. Appeal Process: Users can report false positives for skill reputation adjustment

Compliance & Ethics

This skill:
- ✅ Analyzes publicly available skill metadata
- ✅ Protects user security and privacy
- ✅ Promotes responsible skill development
- ❌ Does NOT perform unauthorized access
- ❌ Does NOT guarantee 100% security (nothing does)
- ❌ Does NOT replace user judgment

Response Templates

Safe Skill

✅ Security Audit Complete

{skill-name} has been analyzed and appears SAFE to install.

Risk Score: {score}/100 (LOW)

No malicious patterns detected. The skill:
- Uses standard dependencies from trusted sources
- Has a verified author with {X} published skills
- Contains clear documentation with no obfuscation
- Requests appropriate permissions for its function

VirusTotal: {link}

Recommendation: Safe to proceed with installation.

Suspicious Skill

🔴 Security Alert: HIGH RISK DETECTED

{skill-name} has been flagged with CRITICAL security concerns.

Risk Score: {score}/100 (HIGH)

⚠️ Critical Findings:
{detailed findings}

This skill matches patterns from the ClawHavoc malware campaign.

Recommendation: DO NOT INSTALL. Consider reporting this skill to ClawHub moderators.

Alternative safe skills: {suggestions}

Technical Implementation Notes

Pattern Database Location: ~/.openclaw/security-auditor/patterns/
- malicious-patterns.json: Known bad indicators
- safe-patterns.json: Whitelisted elements
- ioc-database.json: Indicators of Compromise

Update Mechanism:

# Pull latest threat intelligence
curl -s "https://openclaw-security.github.io/threat-intel/latest.json" \
  > ~/.openclaw/security-auditor/patterns/ioc-database.json

Contributing

Found a new malicious pattern? Submit IOCs to the OpenClaw Security Working Group:
- GitHub: github.com/openclaw/security-auditor
- Report Format: JSON with pattern regex, description, severity

Limitations

⚠️ Important Disclaimers:
- This tool provides analysis, not guarantees
- Sophisticated malware may evade detection
- Always combine with VirusTotal + manual review for critical applications
- Security is a shared responsibility
- No automated tool replaces security expertise

References

  • ClawHavoc Campaign Analysis: [The Hacker News, Feb 2026]
  • OpenClaw Security Partnership: VirusTotal Integration
  • Malicious Skill Database: OpenSourceMalware Research
  • ClawHub Moderation Guide: docs.openclaw.ai/security

Remember: The best security is defense in depth. Use this skill as ONE layer of your security strategy, not the only layer.

Stay safe, stay skeptical, stay secure. 🦞🛡️

常见问题

5 问
答案由本站依据条目字段整理
Skill安全审计怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_fe68ea1d/skill-security-auditor。安装方式为未标注。装完刷新技能列表或重开客户端。

Skill安全审计支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Skill安全审计权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Skill安全审计收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Skill安全审计用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。