I built an AI-agent skill to audit supply-chain attack exposure
Dependabot already does this without the AI agent overhead.
Automates Astral's security framework into an agent skill that produces HTML reports.
Open-source maintainers, DevSecOps engineers
Dependabot already does this without the AI agent overhead.
The two-layer approach — a code plugin for gates/hardening plus a tiny ~1,230-token LLM skill for behavioral rules — is smart and practical. I appreciate that detection runs in bash (no token bloat) and that they mapped concrete checks to OWASP ASI and MITRE frameworks; the tradeoff is obvious: this is highly valuable if you run OpenClaw, but mostly irrelevant outside that ecosystem.
First real supply-chain defense for AI agent ecosystems; catches nation-state-grade payloads.
Semgrep for AI agents—138 rules, offline, catches obfuscated attacks other scanners miss.
Docker sandbox execution catches runtime threats static analysis alone misses.
npm for AI agent configs with transitive deps and unicode attack scanning.