name: skill-security-auditor description: Command-line security analyzer for ClawHub skills. Run analyze-skill.sh to scan SKILL.md files for malicious patterns, credential leaks, and C2 infrastructure before installation. Includes threat intelligence database with 20+ detection patterns. emoji: 🔍🛡️ metadata: openclaw: requires: bins: ["curl", "jq", "grep", "bash"] version: "1.0.0" author: "akm626" category: "security" tags: ["security", "audit", "malware-detection", "skill-vetting", "cli-tool"]

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
2. Matches: "Prerequisites", "Setup Required", "Installation Steps"
3. Contains: Download links to .zip, .exe, .dmg files

4. Example: "Download openclaw-agent.zip from https://..."

5. Known Malicious Infrastructure

6. IP: 91.92.242.30 (ClawHavoc C2)
7. Domains: Newly registered or suspicious TLDs

8. Encoded URLs or base64 obfuscation

9. Credential Harvesting

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

12. Wallet private key patterns

    來源於7w4.net。

13. Unauthorized Code Execution

14. curl | bash or wget | sh patterns
15. Hidden base64 encoded commands
16. Dynamic eval() or exec() on external input

⚠️ Warning Indicators (Score increase)

1. Suspicious Dependencies
2. Binary requirements without clear justification
3. Dependencies from unverified sources

4. Excessive permission requests

5. Obfuscation Techniques

6. Heavily encoded strings in metadata
7. Minified or obfuscated JavaScript/Python

8. Redirect chains in URLs

9. Social Engineering Language

10. Urgency phrases: "Install immediately", "Limited time"
11. Authority claims: "Official OpenClaw", "Verified by Anthropic"
12. Fear tactics: "Your system is at risk without this"

✅ Positive Security Indicators

1. Verified Author
2. GitHub account > 1 year old
3. Multiple well-rated skills

4. Active community engagement

5. Transparent Dependencies

6. Clear binary requirements with official sources
7. Open-source tool dependencies

8. Well-documented permission needs

9. Code Quality

10. Clean, readable SKILL.md
11. Proper error handling
12. 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. 🦞🛡️

這是一款實用的 ClawHub 技能安全檢測工具，能夠在安裝前識別惡意模式和潛在威脅，質量良好。文件詳細、評分清晰、使用簡單是它的優點。不足之處在於需要手動執行、無法自動攔截，且檢測能力依賴已知模式庫，可能無法發現全新的威脅手段。普通使用者可將其作為輔助參考，但不宜完全依賴。