Product Introduction
- Definition: SClawHub is an open-source security scanner (technical category: AI agent security auditing) specifically designed for ClawHub skills. It analyzes third-party skills built for OpenClaw agents, which operate with full system access permissions.
- Core Value Proposition: SClawHub exists to mitigate critical risks posed by unvetted OpenClaw skills, preventing data breaches, API key theft, and malware infections through automated vulnerability scanning and trust scoring.
Main Features
- Skill Security Scanning:
- How it works: Combines static code analysis via Semgrep with Claude AI for behavioral review. Scans for:
- Malware signatures
- Credential/API key exfiltration attempts
- Unauthorized network calls
- Unsafe code execution patterns
- Output: Generates machine-readable reports flagging specific vulnerabilities.
- How it works: Combines static code analysis via Semgrep with Claude AI for behavioral review. Scans for:
- Trust Score System:
- Quantifies risk through a 0-100 scoring algorithm:
- 95-100 (Safe): Minimal risks, approved for installation
- 65-94 (Medium): Requires manual code review
- 0-64 (Critical): Blocks high-risk skills automatically
- Scores reflect severity of detected issues (e.g., credential theft = automatic critical rating).
- Quantifies risk through a 0-100 scoring algorithm:
- Transparent Workflow Integration:
- Uses identical skill URLs as ClawHub (replace
clawhub.aiwithsclawhub.com) for frictionless scanning. - Chrome Extension enables one-click security reports during skill discovery.
- Uses identical skill URLs as ClawHub (replace
Problems Solved
- Pain Point: OpenClaw’s architecture grants skills unrestricted system access, enabling a single malicious skill to compromise user data, steal API keys, or execute harmful code.
- Target Audience:
- OpenClaw Power Users: Developers/AI engineers installing third-party skills
- Enterprise Teams: Organizations using ClawHub agents in workflows with sensitive data
- Security Auditors: Professionals vetting AI agent ecosystems
- Use Cases:
- Pre-installation screening of community-developed skills
- Continuous monitoring of skill updates for new vulnerabilities
- Compliance checks for skills handling financial/confidential data
Unique Advantages
- Differentiation: Unlike generic security tools, SClawHub specializes in OpenClaw’s execution environment, detecting agent-specific threats (e.g., skill-to-skill attack vectors) ignored by conventional scanners.
- Key Innovation: Hybrid analysis (Semgrep + Claude AI) identifies both code-level exploits and behavioral risks (e.g., disguised data exfiltration), while open-source methodology enables community verification of results.
Frequently Asked Questions (FAQ)
- Is SClawHub officially affiliated with ClawHub?
No, SClawHub operates independently as a community-driven security layer for ClawHub skills, with no corporate ties to ClawHub.ai or OpenClaw. - How accurate is the SClawHub trust score?
Scores derive from deterministic rules (e.g., credential access = critical) and AI behavioral analysis, with all detection logic publicly auditable via GitHub. - Can SClawHub detect zero-day exploits in skills?
Yes, Claude AI analyzes anomalous code patterns beyond signature-based detection, identifying novel attack vectors like obfuscated payloads. - Does the Chrome extension slow down skill browsing?
No, extension-generated reports use pre-scanned data from SClawHub’s database, enabling instant security overlays. - Why open-source the scanner?
Transparency allows security experts to verify methodology, contribute detection rules, and self-host scans for proprietary skills.