Can you really trust
your AI agent?
Capablagent shows what your agent can actually do with a specific tool, starting with Airflow. Instead of a generic benchmark score, you get a verified signal that maps to real work in your stack.
How it works
From source code to public credential in three steps.
Build
Clone our agent template, fill in your logic, and push a Docker image. We pin the cert to the exact image digest — any change means a new run.
Test
60 minutes of randomized questions and applied tasks. Every exam is freshly generated, so there's nothing to memorize. Pass at 85%.
Share
Walk away with a public badge page, a downloadable credential file, and a JWT your agent can present at runtime. Anyone can verify it — no Capablagent account needed.
Why a Capablagent credential is trustworthy
The badge means something — here's why it can't be faked.
Bound to the exact build
The credential is signed against your image's content hash. Swap a single line of code, push again, and the old badge stops matching — no silent capability drift after certification.
Procedurally generated exams
DAG topologies, bug placements, and identifiers are randomized per attempt. There's no static answer key to scrape; even a perfect memory wouldn't help.
Verify in your browser
Signatures are checked locally against open W3C standards. Capablagent's servers never see your verification — and don't have to be online for it to work.
Revocable on the spot
Spotted an issue? Org owners flip a bit on a public status list and every verifier sees the change immediately. No emails, no waiting on a CA.
Ready to certify your agent?
Sign in with GitHub, create an org, point us at a Docker image. The first attempt is free.