Files
wshobson-agents/plugins/plugin-eval
dependabot[bot] 07413134b0 deps(plugin-eval): bump the python-minor-and-patch group (#546)
Bumps the python-minor-and-patch group in /plugins/plugin-eval with 5 updates:

| Package | From | To |
| --- | --- | --- |
| [pydantic](https://github.com/pydantic/pydantic) | `2.12.5` | `2.13.4` |
| [typer](https://github.com/fastapi/typer) | `0.24.1` | `0.25.1` |
| [claude-agent-sdk](https://github.com/anthropics/claude-agent-sdk-python) | `0.1.50` | `0.2.85` |
| [anthropic](https://github.com/anthropics/anthropic-sdk-python) | `0.87.0` | `0.104.1` |
| [ruff](https://github.com/astral-sh/ruff) | `0.15.7` | `0.15.14` |


Updates `pydantic` from 2.12.5 to 2.13.4
- [Release notes](https://github.com/pydantic/pydantic/releases)
- [Changelog](https://github.com/pydantic/pydantic/blob/main/HISTORY.md)
- [Commits](https://github.com/pydantic/pydantic/compare/v2.12.5...v2.13.4)

Updates `typer` from 0.24.1 to 0.25.1
- [Release notes](https://github.com/fastapi/typer/releases)
- [Changelog](https://github.com/fastapi/typer/blob/master/docs/release-notes.md)
- [Commits](https://github.com/fastapi/typer/compare/0.24.1...0.25.1)

Updates `claude-agent-sdk` from 0.1.50 to 0.2.85
- [Release notes](https://github.com/anthropics/claude-agent-sdk-python/releases)
- [Changelog](https://github.com/anthropics/claude-agent-sdk-python/blob/main/CHANGELOG.md)
- [Commits](https://github.com/anthropics/claude-agent-sdk-python/compare/v0.1.50...v0.2.85)

Updates `anthropic` from 0.87.0 to 0.104.1
- [Release notes](https://github.com/anthropics/anthropic-sdk-python/releases)
- [Changelog](https://github.com/anthropics/anthropic-sdk-python/blob/main/CHANGELOG.md)
- [Commits](https://github.com/anthropics/anthropic-sdk-python/compare/v0.87.0...v0.104.1)

Updates `ruff` from 0.15.7 to 0.15.14
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](https://github.com/astral-sh/ruff/compare/0.15.7...0.15.14)

---
updated-dependencies:
- dependency-name: pydantic
  dependency-version: 2.13.4
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-and-patch
- dependency-name: typer
  dependency-version: 0.25.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-and-patch
- dependency-name: claude-agent-sdk
  dependency-version: 0.2.85
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-and-patch
- dependency-name: anthropic
  dependency-version: 0.104.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: python-minor-and-patch
- dependency-name: ruff
  dependency-version: 0.15.14
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: python-minor-and-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-05-22 17:21:53 -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.