skill-quality-eval

skill-quality-eval is a skill for Claude Code, Codex from citedy/skills. It costs 61 tokens per session (605 once invoked), scanned A, original, MIT.

A quality checker for AI agent slash commands stored as Markdown files, including checks for metadata, wording, action instructions, and duplicates.

In plain words
What is it for?
Use it after creating or editing commands to produce a pass-or-fail report and suggested fixes.
Why use it?
It finds descriptions that may be too short, unclear, passive, jargon-heavy, or too similar to another command, which can lead to poor command selection.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Good fit Use it after creating or editing commands to produce a pass-or-fail report and suggested fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/citedy/skills/skill-quality-eval
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add citedy/skills --skill skill-quality-eval
Clone the repo
git clone --depth 1 https://github.com/citedy/skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for skill-quality-eval

README.md
[![agentmods](https://agentmods.dev/badge/skills/citedy/skills/skill-quality-eval.svg)](https://agentmods.dev/skills/citedy/skills/skill-quality-eval)
Your own site
<a href="https://agentmods.dev/skills/citedy/skills/skill-quality-eval"><img src="https://agentmods.dev/badge/skills/citedy/skills/skill-quality-eval.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 605 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.00605
Opus 5 $0.00030 $0.00302
Sonnet 5 $0.00012 $0.00121
Haiku 4.5 $0.00006 $0.00060

Measured 7d ago against content hash 8c8002615078, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

skill-quality-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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/run-eval.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/skill-quality-eval/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Quality Evaluator

Validates .claude/commands/*.md files for quality, triggering accuracy, and best practices from Phil Schmid's (Google DeepMind) eval harness methodology.

What it checks

  1. YAML frontmatter — every command must start with --- block containing description:
  2. Description length — minimum 40 characters (short descriptions don't trigger well)
  3. Jargon detection — flags internal terms that confuse users (dogfood, --dangerously, etc.)
  4. Directive language — descriptions must contain action verbs (Run, Fix, Scan, Extract, etc.) because passive descriptions don't trigger Claude's skill routing
  5. Duplicate detection — similar commands must have distinct descriptions (first 30 chars normalized)

How to run

Execute the bundled script — it requires zero dependencies (pure Node.js):

node .claude/skills/skill-quality-eval/scripts/run-eval.js [commands-dir]
  • Default commands-dir: .claude/commands (relative to cwd)
  • Pass an absolute path to scan a different directory

The script outputs a structured report with PASS/FAIL per file, summary stats, and specific fix suggestions.

When a check fails

Check How to fix
Missing frontmatter Add ---\ndescription: "..."\n--- at top of file
Description too short Expand to 40+ chars — explain WHEN to use and WHAT it does
Jargon detected Replace internal terms with user-facing language
No directive verb Add action verbs: "Run...", "Fix...", "Scan...", "Use when..."
Duplicate description Make the first 30 chars unique between similar commands

Customization

Edit scripts/run-eval.js to add:

  • Custom jargon patterns (line ~15, JARGON_PATTERNS array)
  • Additional directive verbs (line ~30, DIRECTIVE_PATTERNS array)
  • Differentiation pairs (line ~50, DIFF_PAIRS array)

Integration with CI

The script exits with code 1 if any check fails, making it suitable for pre-commit hooks or CI pipelines:

Read the full file on GitHub · 59 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 7d ago First seen · 59 lines · 61 tokens per session scan A 8c8002615078

Subscribe to this mod's changes

skill-quality-eval is a skill published in the GitHub repository citedy/skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 61 tokens to every session and 605 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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