ClawSecure: Security Platform for OpenClaw Ecosystem
What ClawSecure Does
ClawSecure is a security platform dedicated entirely to the OpenClaw ecosystem, designed to protect against hackers, scammers, and compromised dependencies in the fast-moving skill ecosystem.
3-Layer Audit Protocol
- L1: Proprietary Engine - Uses 55+ detection patterns built for OpenClaw skill format. Catches C2 beaconing, webhook-based exfiltration, config.json manipulation, credential harvesting, and prompt injection embedded in skill instructions. Context-aware to distinguish normal agent behavior from suspicious activity.
- L2: Static and Behavioral Code Analysis - Includes YARA matching, dataflow tracing, eval() detection, and base64 payload identification.
- L3: Supply Chain - Scans every npm dependency against OSV.dev for known CVEs.
Watchtower Continuous Monitoring
- Tracks SHA-256 hashes on all audited skills every 12 hours
- Detects code drift post-install
- If a skill mutates after installation, Watchtower flags it and triggers a fresh audit
- Addresses the reality that a clean skill today doesn't guarantee a clean skill tomorrow
Additional Security Features
- Secures agent marketplaces and agent identity protocols to create a trust layer across the ecosystem
- Provides full coverage across all 10 categories of the OWASP Agentic Security Initiatives (ASI) framework
- Each finding maps to a specific ASI category (supply chain, code execution, memory/context manipulation, cascading failures, etc.)
Current Status
The platform has audited 3,000+ of the most popular OpenClaw skills so far. It's available free with no signup required and is built specifically for OpenClaw only.
📖 Read the full source: r/clawdbot
👀 See Also
Claude Code Finds 23-Year-Old Linux Kernel Vulnerability
Anthropic researcher Nicholas Carlini used Claude Code to discover multiple remotely exploitable heap buffer overflows in the Linux kernel, including one that had been hidden for 23 years. The AI found the bugs with minimal oversight by scanning the entire kernel source tree.
Why Internal RAG and Doc-Chat Tools Fail Security Audits
Community discusses real-world security and compliance blockers that prevent RAG tools from reaching production.
Architectural fix for AI agent over-centralization: separating memory, execution, and outbound actions
A developer realized their AI assistant was becoming an 'internal autocrat' by handling long-term memory, tool access, and autonomous decisions in one component. The solution involved separating the system into three roles: private controller, scoped workers, and outbound gate.
OpenClaw Skill Safety Scanner: 7.6% of 31,371 Skills Flagged as Dangerous
A developer built a tool that scanned the entire ClawHub registry and found 2,371 out of 31,371 skills contain dangerous patterns like wallet drainers, credential theft, and prompt injection. The tool provides API access and badges for checking skills before installation.