curl -fsSL https://api.cheatcodehq.com/install.sh | sh -s -- wshobson-plugin-eval --to allCopies 1 skill into each app's skills folder (Claude Code: ~/.claude/skills), after checking every file against wshobson/agents at commit 9b15b34. Nothing else on your computer changes. To undo it, run the terminal command with --uninstall at the end; that also removes what the app added.
Then start a new session in your AI app and ask for the work in plain words; it picks the skill from its description. In Claude Code you can also type /wshobson-plugin-eval:evaluation-methodology.
See it in use
After installing, start a new session and say: My skill in SKILL.md scored low in report.json. Explain why in plain words and give me a fixed version.
What else it can do, and its limits
- 1 skill that explains how the PluginEval quality score for Claude Code skills and plugins is built: the lint checks, six flags that cut the score, dimension weights and badges
- Reads a score report and says which changes move the number and which do not
- The scoring tool itself is not in this package: running plugin-eval needs a terminal and a separate install
- The model judge and repeated run layers are experimental by the tool's own account, so it treats their numbers as rough signals
- Without the tool it estimates a new score and asks you to confirm it, as in this run
Sample input Recorded Oct 24, 2026 in Claude Code 2.1.308 with Sonnet 5.5. The video replays that session; nothing in it was acted or edited.
What's inside 1 skill
evaluation-methodologyPluginEval 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.
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.
About
Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi
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