opencode-plugin-eval
Three-layer quality evaluation framework for OpenCode skills and plugins.
Disclaimer: This plugin is not built by the OpenCode team and is not affiliated with OpenCode in any way. It is an independent community project.
Installation
From GitHub (recommended)
pip install git+https://github.com/jarbcs1-prog/opencode-plugin-eval.git
From source
git clone https://github.com/jarbcs1-prog/opencode-plugin-eval.git
cd opencode-plugin-eval
pip install -e .
Development install with LLM judge support
pip install -e "git+https://github.com/jarbcs1-prog/opencode-plugin-eval.git#egg=opencode-plugin-eval[llm]"
Or from source:
git clone https://github.com/jarbcs1-prog/opencode-plugin-eval.git
cd opencode-plugin-eval
pip install -e ".[llm]"
Quick Start
# Evaluate a skill (static only, instant)
opencode-plugin-eval score path/to/skill --depth quick
# Evaluate with LLM judge (~30s)
opencode-plugin-eval score path/to/skill --depth standard
# Full certification (all layers, ~2-5 min)
opencode-plugin-eval certify path/to/skill
# Head-to-head comparison
opencode-plugin-eval compare path/to/skill-a path/to/skill-b
# Initialize corpus for Elo ranking
opencode-plugin-eval init path/to/plugins
OpenCode Commands
After installing, use these commands directly in OpenCode:
| CLI | OpenCode | Description |
|---|---|---|
opencode-plugin-eval score |
/eval |
Score a plugin or skill |
opencode-plugin-eval certify |
/certify |
Full certification with badge |
opencode-plugin-eval compare |
/compare |
Head-to-head comparison |
opencode-plugin-eval init |
— | Build corpus for Elo ranking |
Layers
- Static Analysis — Structural checks, anti-pattern detection. Instant, free.
- LLM Judge — Semantic evaluation (triggering, orchestration, output, scope). ~30s, 4 calls.
- Monte Carlo — Statistical reliability via 50–100 simulated runs. ~2–5 min.
Documentation
See docs/opencode-plugin-eval.md for the full reference: layers, dimensions, scoring formula, anti-patterns, statistical methods and project structure.
1 maintainer
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