Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/citedy/skillsnpx agentmods add commands/citedy/skills/skill-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/commands/citedy/skills/skill-eval)<a href="https://agentmods.dev/commands/citedy/skills/skill-eval"><img src="https://agentmods.dev/badge/commands/citedy/skills/skill-eval/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/commands/citedy/skills/skill-eval"><img src="https://agentmods.dev/badge/commands/citedy/skills/skill-eval.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 | $0.00035 | $0.00095 |
| Opus 5.5 | $0.00014 | $0.00038 |
| Sonnet 5.5 | $0.00007 | $0.00019 |
| Haiku 4.5 | $0.00003 | $0.00010 |
Grade A, and why
skill-eval 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 1mo 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.
What it actually says
Run the skill quality evaluator on the project's commands directory:
node .claude/skills/skill-quality-eval/scripts/run-eval.js
Read the output and present the results to the user. If there are failures, explain each issue and suggest fixes.
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.
- 1mo ago First seen · 11 lines · 35 tokens per session scan A 9816c7fc8d9a
skill-eval is a command published in the GitHub repository citedy/skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 35 tokens to every session and 95 once invoked, about $0.0001 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.
Other commands, from other repositories
audit
Use when auditing existing project docs for quality, completeness, and code alignment — generates findings report with fix recommendations.
resolve-review
Resolve reviewer feedback - from GitHub PRs, chat, or any reviewer.
vet-impl
Forensic audit of an implementation against its authoritative specification.
challenge-pr
Challenge a pull request with an independent second opinion from another model.
review
Run the full review gate locally and trigger CI visibility.
go
Run all six lenses in parallel and synthesize the findings.