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/metric-pack-designer)<a href="https://agentmods.dev/skills/ancplua/ancplua-claude-plugins/metric-pack-designer"><img src="https://agentmods.dev/badge/skills/ancplua/ancplua-claude-plugins/metric-pack-designer/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/metric-pack-designer"><img src="https://agentmods.dev/badge/skills/ancplua/ancplua-claude-plugins/metric-pack-designer.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 | $0.00057 | $0.00665 |
| Opus 5 | $0.00028 | $0.00332 |
| Sonnet 5 | $0.00011 | $0.00133 |
| Haiku 4.5 | $0.00006 | $0.00067 |
Grade A, and why
metric-pack-designer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metric Pack Designer
Use this skill when the user wants to extend cc-plugin-eval with a local rubric.
Invoke the shipped script through the plugin root, which works in any checkout: node "${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.
Workflow
- Clarify the custom rubric categories and target kinds (
skill,plugin,directory). - Define the smallest useful
checks[]andmetrics[]payload that answers the user's actual question. - Create a metric-pack manifest plus a script that prints JSON to stdout.
- Wire the pack into a run with
cc-plugin-eval analyze <path> --metric-pack <manifest.json>. Repeat the flag for multiple packs.
Manifest Shape
{
"name": "team-rubric",
"version": "1.0.0",
"supportedTargetKinds": ["skill", "plugin"],
"command": ["node", "./emit-team-rubric.js"]
}
Runtime Contract
- The manifest is passed to
cc-plugin-eval analyze --metric-pack <manifest.json>. - The command runs from the manifest directory.
- The target path and target kind are appended as CLI arguments.
- The process also receives:
CC_PLUGIN_EVAL_TARGETCC_PLUGIN_EVAL_TARGET_KINDCC_PLUGIN_EVAL_METRIC_PACK_MANIFEST
Output Contract
The metric pack must print JSON to stdout in this shape:
{
"checks": [
{
"id": "team-style",
"category": "custom",
"severity": "warning",
"status": "warn",
"message": "Custom rubric finding",
"evidence": ["detail"],
"remediation": ["fix detail"]
}
],
"metrics": [
{
"id": "team-score",
"category": "custom",
"value": 4,
"unit": "points",
"band": "good"
}
],
"artifacts": []
}
Design Rules
- Keep IDs stable across runs so
cc-plugin-eval comparestays meaningful. - Emit only
checks[],metrics[], and optionalartifacts[]. - Do not try to overwrite the core
summaryor the budget bucket totals. - Prefer deterministic local signals over subjective text generation.
- Use unique IDs that do not collide with the built-in
CC1xx-CC9xxcodes.
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.
- 11d ago First seen · 81 lines · 57 tokens per session scan A 3e9155541c5c
metric-pack-designer is a skill published in the GitHub repository ANcpLua/ancplua-claude-plugins (6 stars, last pushed 25d ago), licensed MIT. It adds 57 tokens to every session and 665 once invoked, about $0.0003 per session on Opus 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.
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