Evidence it works?

Before/after scores (38% → 91%+), explicit failure mode coverage, NVIDIA OpenShell compatibility, and Karpathy alignment.

How does this help developers upskilling in AI?

Provides the production hardening layer employers expect. Clear scores and explicit evidence of reliability — validation rules, retry policies, observability hooks, and more.

Does this work with my existing tools?

Yes. Non-invasive. Trustabl analyzes your code, documentation, and behavior, then generates enriched metadata on top without modifying your source.

ATM vs SKILL.md?

Skills teach the agent how to perform a task or workflow. ATM makes the tools themselves reliable underneath. They are complementary and recommended together.

How do I call Trustabl from my agent builder?

Use the GitHub Action, open-source scanner, or install our skills directly. ATM JSON output is structured for easy consumption by any agent framework.