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PluginEval
Plugin AvvisoThree-layer quality evaluation framework for Claude Code plugins with Elo ranking
Riepilogo IA
This extension provides a sophisticated three-layer quality evaluation framework for Claude Code plugins, utilizing static analysis, an LLM judge, and Monte Carlo simulations. It exposes CLI commands for scoring, certifying, and comparing plugins, offering detailed reports and anti-pattern detection.
Practical Utility
- info:Problem relevanceThe displayed description mentions "Three-layer quality evaluation framework for Claude Code plugins with Elo ranking", which is a good start but could be more specific about the problem it solves for users beyond just the technical framework.
Scope
- warning:Description qualityThe displayed description is concise but lacks detail about the core problem it solves and the specific benefits of its methodology beyond the technical framework.
Maintenance
- critical:Commit recencyThe repository has no commit history (pushedAt: n/a), indicating it is likely unmaintained or has no active development, posing a significant risk for users.
- warning:Dependency ManagementThe pyproject.toml lists dependencies for dev and LLM integration, but there are no explicit measures like Dependabot configured or mentioned for managing or updating these dependencies, including potential vulnerabilities.
Trust
- critical:Issues AttentionNo issues were opened or closed in the last 90 days (n/a), and the repository has no commit history, indicating a complete lack of maintainer engagement and slow responsiveness.
Versioning
- warning:Release ManagementThe project lacks a version number in its manifests (e.g., pyproject.toml, SKILL.md frontmatter), and there are no GitHub releases or CHANGELOG entries, making it difficult to track versions and rely on specific releases.
Installazione
Aggiungi prima il marketplace
/plugin marketplace add wshobson/agents/plugin install plugin-eval@claude-code-workflowsEstensioni simili
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