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About bmad-eval

B

bmad-eval

Runs the evals of a BMad skill through the agent harness the user works in and

BMad Eval runs the evals of a BMad skill and reports what they show. It works through the agent harness you already use, and covers four modes. Baseline compares the skill with the bare model on the same input. Variant checks whether a section of the skill earns its place, or whether a stripped version does as well. Quality grades an output against a named rubric. Trigger checks that the skill's description fires on the right queries and stays quiet on the rest. Cases are stored in the skill's evals folder as an input, a rubric and optional fixture files, and trigger queries as labelled examples. The skill is built to report honestly: it cites specific findings, flags evals that pass for trivial reasons, and does not widen a tolerance to make a run look successful. It can also improve a skill's description across rounds. A skill-creator evals file can be converted into the BMad case format. It is part of the BMad Method project on GitHub, which has about 54,000 stars. The listing shows it as free. Its security audits show a pass from Gen Agent Trust Hub, and warnings from Socket and Snyk.

View bmad-evalAll AI Skills apps
Price
Free
Made by
bmad-code-org
Category
AI Skills
Website
github.com/bmad-code-org/bmad-method/bmad-eval