Smarter models can describe tools better, but they cannot reliably harden them for production. Trustabl adds critical production-grade elements models cannot consistently provide: structured validation rules, circuit breakers, policy enforcement, cryptographic attestations, least-privilege OpenShell policies, and SLSA supply-chain provenance.
No. Trustabl works on top of your existing tools. It analyzes your code, documentation, and behavior, then generates enriched metadata and optional policy files without modifying your source code.
Trustabl scans AI agents, tools, and skills for production-readiness issues — flagging reliability, safety, and configuration gaps with clear fix suggestions. Free remediation via VS Code, Cursor, and Skill.md is coming soon. Think of it as a specialized linter for agentic systems.
Complementary. Trustabl automatically generates OpenTelemetry (OTEL) tracing, structured logging, and metrics configurations that feed directly into LangSmith, Langfuse, or any observability platform. We also surface key aggregated metrics and production readiness insights ourselves.
