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Eval Skills gives coding assistants procedures for inspecting AI executions, collecting human error annotations, building graders and comparing changes. Start with one real application trace and a person who can judge the expected behavior. The workflow then turns observed failures into reusable test cases and experiments. This is useful for improving a particular AI feature, not assigning every model a universal quality score. Judge-provider setup is a separate choice. Current reviewed the README; it has not installed the suite or validated a resulting grader.
Primary documentation was read. This is a research note, not a hands-on test or recommendation.
2 recorded checks. These are research observations, not necessarily product changes.
Eval Skills gives coding assistants procedures for inspecting AI executions, collecting human error annotations, building graders and comparing changes. Start with one real application trace and a person who can judge the expected behavior. The workflow then turns observed failures into reusable test cases and experiments. This is useful for improving a particular AI feature, not assigning every model a universal quality score. Judge-provider setup is a separate choice. Current reviewed the README; it has not installed the suite or validated a resulting grader.
Confident AI · page · Reader-facing explanation checked against the primary page, including the scope and verification limits. No third-party software was executed.
Research from this day →Primary README read. Next work through traces, error analysis and validated graders; tools and judge providers are separate choices.
Confident AI · page · Primary README read. Next work through traces, error analysis and validated graders; tools and judge providers are separate choices.
Research from this day →