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
Two Approaches to Reduce Data Leak Risk with AI Agents
A Reddit post outlines two methods for developers to control where their AI agent data goes: using your own API keys directly with providers like OpenAI or Anthropic to cut out middlemen, or running open-source models locally with tools like Ollama and OpenClaw.
Endo Familiar: Object-Capability Sandbox for AI Agents
Endo Familiar implements object-capability security for AI agents: agents start with zero ambient authority, receive only explicit references to specific files or directories, and can derive narrower capabilities in sandboxed code.
Open Source AI Tools Pose Security Risks Through 'Illusory Security Through Transparency'
A Reddit post warns about malware disguised as open-source AI agents and tools, where malicious code can be hidden in large codebases that users assume are safe because they're on GitHub. The post describes how 'vibe-coding' and autonomous AI agents condition users to run unknown programs without review.
Sandboxing AI Agents with WebAssembly: Zero Authority by Default
Cosmonic argues that traditional sandboxing (seccomp, bubblewrap) fails for AI agents due to ambient authority. WebAssembly's capability-based model grants zero authority by default, requiring explicit imports for filesystem, network, or credentials.