Features, pricing, ratings, and pros and cons, compared head to head.
Caterpillar is a free agentic ai security tool by Alice. SkillScan is a free agentic ai security tool. Compare features, ratings, integrations, and community reviews side by side to find the best agentic ai security fit for your security stack. Independent and vendor-neutral: our scores and rankings are earned, never bought — sponsored placement is always labeled.
Startup and SMB security teams adopting Claude Skills or similar AI agents need Caterpillar because it's the only free CLI scanner that catches permission escalation and credential theft in agent code before installation. It installs via curl with zero API key friction and covers both the ID.RA risk assessment and PR.PS platform hardening that NIST CSF 2.0 demands. Skip this if your organization needs post-deployment agent monitoring or runtime behavior analysis; Caterpillar stops threats at the gate, not in production. Teams deploying LangChain agents or OpenAI plugins at scale need SkillScan because it catches supply chain compromises in third-party skills before they hit production; most teams skip this layer entirely and rely on whatever the marketplace vendor claims is safe. It maps directly to NIST GV.SC, which most AI shops haven't even started thinking about, and the commit hash tracking means you'll actually know when a dependency gets updated and needs re-scanning. Skip this if your org treats AI agent integrations as one-off experiments; the scanning overhead only pays for itself when you're managing a growing inventory of tools across teams.
Based on our analysis of core features, integrations, company size fit, deployment model, here is our conclusion:
Startup and SMB security teams adopting Claude Skills or similar AI agents need Caterpillar because it's the only free CLI scanner that catches permission escalation and credential theft in agent code before installation. It installs via curl with zero API key friction and covers both the ID.RA risk assessment and PR.PS platform hardening that NIST CSF 2.0 demands. Skip this if your organization needs post-deployment agent monitoring or runtime behavior analysis; Caterpillar stops threats at the gate, not in production.
Teams deploying LangChain agents or OpenAI plugins at scale need SkillScan because it catches supply chain compromises in third-party skills before they hit production; most teams skip this layer entirely and rely on whatever the marketplace vendor claims is safe. It maps directly to NIST GV.SC, which most AI shops haven't even started thinking about, and the commit hash tracking means you'll actually know when a dependency gets updated and needs re-scanning. Skip this if your org treats AI agent integrations as one-off experiments; the scanning overhead only pays for itself when you're managing a growing inventory of tools across teams.
CLI scanner that detects security threats in AI agent skills before installation.
Security scanner and verifier for AI agent tools, MCP servers, and plugins.
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Common questions about comparing Caterpillar vs SkillScan for your agentic ai security needs.
Caterpillar: CLI scanner that detects security threats in AI agent skills before installation. built by Alice..
SkillScan: Security scanner and verifier for AI agent tools, MCP servers, and plugins..
Both serve the Agentic AI Security market but differ in approach, feature depth, and target audience.
Caterpillar and SkillScan serve similar Agentic AI Security use cases: both are Agentic AI Security tools, both cover MCP Security, LLM Security, Agentic AI Security. Review the feature comparison above to determine which fits your requirements.
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