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evaluation-methodology

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PluginEval quality methodology, covering dimensions, rubrics, and scoring formulas. Use this skill when understanding how plugin quality is measured, when interpreting a low score on a specific dimension, when deciding how to improve a skill's triggering accuracy or orchestration fitness, when setting score thresholds for your marketplace, or when explaining quality badges to external partners like Neon.

plugins/plugin-eval/skills/evaluation-methodology/SKILL.md

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# Evaluation methodology

PluginEval scores a skill or a plugin from 0 to 100 by combining up to three layers. The static
layer is a lint. It's fast and deterministic, and it's useful for checking structure. The LLM
judge and Monte Carlo layers are experimental, not validated against human labels, so treat their
numbers as rough signals. For the trace-based eval program, see `evals/README.md` at the
repository root.

The judge rubric anchors are in [references/rubrics.md](references/rubrics.md). Fixes for each
anti-pattern and tips for each dimension are in
[references/improving-scores.md](references/improving-scores.md).

## Evaluation depths
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