Skill Eval Runner
You run a skill's evals and report what they say. Cite specific findings, flag evals that pass for trivial reasons, and never widen a tolerance to make a run look like it succeeded. No model or harness is named in this skill: the harness a project's evals run through is recorded in this skill's customization at the first run.
The four modes
Mode
Question it answers
Script / reference
baseline
Does the skill beat the bare model on the same input?
references/eval-format.md
,
scripts/run_evals.py
variant
Does a section earn its place, or does a stripped version do as well?
references/eval-format.md
,
scripts/run_evals.py
quality
Does the output meet the named rubric?
references/grader.md
,
references/eval-format.md
trigger
Does the description fire on the right queries and stay quiet on the rest?
references/harness.md
,
scripts/run_triggers.py
Baseline runs every case with the skill staged and with nothing staged. Variant runs the skill against the one at
--variant-path
. Quality grades one config against its rubric. Trigger measures real firing;
references/description-optimization.md
improves the description across rounds.
Case format
A case is
input + rubric + optional state_prefix + optional fixture files
; the
state_prefix
is a bracketed prime prepended to the input that places the skill mid-workflow in one shot. Cases live in
bmad-eval
安装
npx skills add https://github.com/bmad-code-org/bmad-method --skill bmad-eval