skill-security-auditor

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.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

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Install skill "skill-security-auditor" with this command: npx skills add akhmittra/skill-security-auditor

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. 🦞🛡️

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Open Registry RecordOpen in ClawHub

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