no — deterministic offline scan; enrich uses your own key; telemetry opt-in
They focus on securing the agent runtime and detecting threats. Trustabl focuses on hardening the tools agents use so they are production-safe, policy-compliant, and resilient by design. We prevent problems at the source rather than only detecting them at runtime.
Trustabl’s open-source Agent Reliability Analyzer scans AI agent repositories for reliability, safety, configuration, and tool-calling issues before production. Scanning runs locally with no account, code upload, network connection, or LLM. To generate code fixes, run trustabl enrich --input scan.json --repo . --diff --apply with your own Anthropic, OpenAI, or Google key; Trustabl shows the patch before applying the approved changes.
First run trustabl scan . --format json > scan.json. Then run trustabl enrich --input scan.json --repo . --diff --apply with your own Anthropic, OpenAI, or Google key. Trustabl displays the proposed patch, confirms that the current file still matches the scanned version, and writes a .trustabl.bak backup before applying a fix. If the file changed after the scan, Trustabl skips the stale fix instead of applying it.
