Skill Detail
Run repeatable model and agent eval suites and inspect scoring traces with Inspect AI
Run benchmark-style eval suites against models or agents, then inspect scored traces instead of relying on ad hoc chats and gut feel.
Security & VerificationMulti-Framework
Security & Verification
Multi-Framework
Security Reviewed
⭐ 1.9k GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill run-repeatable-model-and-agent-eval-suites-and-inspect-scoring-traces-with-inspect-ai
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Python environment, inspect-ai package, model provider credentials, evaluation datasets or task definitions, optional sandbox dependencies for agent tasks
Install & setup
Install inspect-ai in a Python environment, add the provider packages and credentials for the models you want to test, select or author an evaluation task, then run it with the documented inspect eval workflow.
Author
UK AI Security Institute
Publisher
Organization
Last updated
Apr 15, 2026
Quick brief
Use Inspect AI when an agent needs to run repeatable evaluation suites against models or external agents, then inspect transcripts, scores, and traces to understand failures. It is invoked for benchmark-style or task-suite evaluation, not for ordinary prompt iteration or generic chat use. That scope boundary, authoring and running scored eval tasks with inspection tooling, keeps it narrower than a plain framework card.