Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ANcpLua/ancplua-claude-plugins/plugin install cc-plugin-evalWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ancplua/ancplua-claude-plugins/evaluate-plugin)<a href="https://agentmods.dev/skills/ancplua/ancplua-claude-plugins/evaluate-plugin"><img src="https://agentmods.dev/badge/skills/ancplua/ancplua-claude-plugins/evaluate-plugin/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ancplua/ancplua-claude-plugins/evaluate-plugin"><img src="https://agentmods.dev/badge/skills/ancplua/ancplua-claude-plugins/evaluate-plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00073 | $0.01480 |
| Opus 5.5 | $0.00029 | $0.00592 |
| Sonnet 5.5 | $0.00015 | $0.00296 |
| Haiku 4.5 | $0.00007 | $0.00148 |
Grade A, and why
evaluate-plugin scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evaluate Plugin
Use this skill when the target is a plugin root with .claude-plugin/plugin.json. If the target is a single SKILL.md directory, hand off to ../evaluate-skill/SKILL.md instead.
The runnable commands below invoke the shipped script through the plugin root, which works in any checkout: node "${CLAUDE_PLUGIN_ROOT}/scripts/cc-plugin-eval.js" <command> <args>. Inline mentions of cc-plugin-eval <command> are shorthand for that same invocation; the bare cc-plugin-eval alias only exists if you ran npm link in the plugin directory.
When To Use
- The path passed by the user contains
.claude-plugin/plugin.json. - The user's question is about the bundle as a whole, not a single skill.
- The user says "audit", "validate", "lint", "inspect", or "benchmark this plugin".
If the path is a SKILL.md or a directory holding one, route to ../evaluate-skill/SKILL.md. If the path contains neither, treat it as a generic directory and run cc-plugin-eval analyze <path> to surface the file-level signals.
Workflow
- Treat "Evaluate this plugin." as the default entrypoint.
- If the request comes in as natural chat language, run
cc-plugin-eval start <plugin-root> --request "<user request>" --format markdownfirst so the user sees the routed local path. - Run
cc-plugin-eval analyze <plugin-root> --format markdown. - Read
Fix Firstbefore drilling into manifest findings, hook findings, MCP/LSP findings, monitor/agent findings, marketplace findings, then nested skill findings. - If the plugin contains multiple skills, summarize the strongest and weakest ones explicitly.
- If the user wants a CI-friendly pass/fail check, run
cc-plugin-eval validate <plugin-root> --strict. Exit code 2 means at least one warn or fail finding fired. - If the user wants component-only output (only hooks, only mcp, etc.), run
cc-plugin-eval inspect <plugin-root> --component <name>. - If the user wants measured usage, switch to "Help me benchmark this plugin." and use the starter benchmark flow.
- If the user wants trend data, compare two JSON outputs with
cc-plugin-eval compare before.json after.json.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 79 lines · 73 tokens per session scan A 737db7074db0
evaluate-plugin is a skill published in the GitHub repository ANcpLua/ancplua-claude-plugins (6 stars, last pushed 2d ago), licensed MIT. It adds 73 tokens to every session and 1,480 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
evaluate-plugin compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| evaluate-pluginANcpLua/ancplua-claude-plugins | Skill | 6 | 2d ago | MIT | A | 73 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 316k | 7d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |