Clawscan – Open-source security scanner for OpenClaw AI agents
Single-file, zero-dep scanner for a niche product, but OpenClaw audience is tiny.

Secures OpenClaw skills, but the ecosystem might not sustain the moat.
OpenClaw skill developers, AI agent builders, DevSecOps teams
Semgrep · Snyk Code · Sonarqube
Single-file, zero-dep scanner for a niche product, but OpenClaw audience is tiny.
60+ threat patterns in sub-2s, but OpenClaw's ecosystem appears niche and unverified.
Bundles CI-friendly scanners that target agent-specific risks: 17 patterned secret detectors, prompt-injection and instruction‑malware heuristics, tool/SSRF and MCP auth checks, plus SARIF/JSON outputs for integration. Findings map to the OWASP Top 10 for Agentic Applications (2026) and it adds 'harden' profiles to apply safer defaults to OpenClaw/MCP installs — practical, focused ops tooling rather than a generic secret-finder.
Docker sandbox execution catches runtime threats static analysis alone misses.
It actually looks for the weird stuff that trips up LLM agents — invisible Unicode, bidi overrides, embedded curl|bash one-liners, exfil links — and pairs a static skill scanner with a real-time interception flow that forces human approvals. The CLI-first approach (npx safeclaw start) plus Socket.IO alerts and per-command allow/deny decisions show practical thinking about developer workflows; I want to see model/false-positive metrics and enterprise integration docs next.
Malicious OpenClaw skill scanner, but the market for hardening OpenClaw specifically is tiny.