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.
Most tools are fully hardened in under 60 seconds. You connect your GitHub repo, and Trustabl scans, enriches, and generates most of the metadata automatically.
Yes. OpenShell secures the runtime environment. Trustabl hardens the tools the agents call inside that environment. TAA automatically generates least-privilege policies, egress rules, binary requirements, and sandbox compatibility metadata that OpenShell can consume directly. Together they deliver defense-in-depth: secure runtime + production-hardened tools.
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.
