No. Skills (SKILL.md) teach the agent how to perform a task or workflow. Trustabl Agent Analyzer (TAA) makes the tools themselves reliable, safe, and production-ready. Skills focus on process. TAA focuses on resilience, validation, policy, observability, and supply-chain trust. The two are highly complementary — great skills need hardened tools underneath them.
Not for scanning. The analyzer is read-only and reports findings without changing your files. If you use trustabl enrich, it proposes a patch for review and only applies it when you choose --apply; it also creates a .trustabl.bak backup and skips stale fixes when the file has changed since the scan.
No. trustabl enrich shows proposed patches for review. It applies changes only when you run with --apply, and the resulting files remain under your normal version-control workflow. Review the diff before committing.
Yes. Trustabl is essentially a specialized linter for AI agents. While traditional linters (like ESLint or Ruff) focus on code style, syntax, and general bugs, Trustabl analyzes your AI agents, tools, prompts, and SDK configurations for reliability, safety, and production readiness — flagging patterns that expose you to prompt injection, missing timeouts, tool misconfigurations, and guardrail gaps that standard linters miss. Think of it as "ESLint for AI agents" — it runs in CI/CD, gives clear explanations and fix suggestions, and helps you ship safer, more robust agentic systems.
