Files
wshobson-agents/plugins/plugin-eval
jon 112197c6bf fix(plugin-eval): broaden MISSING_TRIGGER pattern to match canonical phrasings (#530)
The static-layer trigger heuristic was a literal substring match on
"Use when …" / "Use this skill when …" / "Use proactively" / "Trigger
when …". Three real-world phrasings were missed:

1. Third-person canonical form recommended by Anthropic's own plugin-dev
   skill-development skill: "This skill should be used when …" (contains
   "used when", not "use when"). Running the previous regex on plugin-dev
   itself produces 7 false-positive MISSING_TRIGGER flags.

2. Prepositional temporal triggers: "Use after …", "Use before …",
   "Use immediately before …", "Use whenever …". Common in self-audit
   and hook-adjacent skills (e.g. functional-emotions: 6 flags).

3. Path-triggered self-documenting skills: "Auto-loads when …".

Extract the pattern to a module-level `_TRIGGER_PATTERN` and share it
between the anti-pattern detector and `_description_pushiness` so the
two sites stay in sync. Expand it to match `(should be )?use(d)?
(this skill )?(immediately )?(when|after|before|whenever)` plus
`auto-loads when` and `trigger when`.

Verification:
- plugin-dev (Anthropic's own): 33.82 → 55.18, MISSING_TRIGGER cleared
- functional-emotions: 39.04 → 59.68, all 6 false positives cleared
- 22 tests pass, including 11 new positive-form parametrised cases
  and 2 regression tests against canonical Anthropic phrasings.
2026-05-14 09:04:34 -04:00
..

plugin-eval

Three-layer quality evaluation framework for Claude Code plugins.

Quick Start

cd plugins/plugin-eval
uv sync

# Evaluate a skill (static only, instant)
uv run plugin-eval score path/to/skill --depth quick

# Evaluate with LLM judge (~30s)
uv run plugin-eval score path/to/skill --depth standard

# Full certification (all layers, ~5 min)
uv run plugin-eval certify path/to/skill

Layers

  1. Static Analysis — Structural checks, anti-pattern detection. Instant, free.
  2. LLM Judge — Semantic evaluation (triggering, orchestration, output, scope). ~30s, 4 calls.
  3. Monte Carlo — Statistical reliability via 50100 simulated runs. ~25 min.

Commands

CLI Claude Code Description
plugin-eval score /eval Score a plugin or skill
plugin-eval certify /certify Full certification with badge
plugin-eval compare /compare Head-to-head comparison
plugin-eval init Build corpus for Elo ranking

Documentation

See docs/plugin-eval.md for the full reference: layers, dimensions, scoring formula, anti-patterns, statistical methods, and project structure.