audit

audit is a skill for Claude Code from qinye6/pi-ccg. It costs 54 tokens per session (1,919 once invoked), scanned A, a copy of audit, MIT.

A code-level quality audit guide that checks accessibility, performance, theming, responsive behavior, and implementation anti-patterns.

In plain words
What is it for?
Use it for accessibility checks, performance reviews, responsive-design checks, and technical reports with P0–P3 priorities.
Why use it?
It produces a severity-rated report of measurable problems, so issues can be prioritized before someone fixes them.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

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.

agentmods
npx agentmods add skills/qinye6/pi-ccg/audit
Any agent
npx skills add qinye6/pi-ccg --skill audit
Clone the repo
git clone --depth 1 https://github.com/qinye6/pi-ccg

Made for: Claude Code.

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 audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/qinye6/pi-ccg/audit.svg)](https://agentmods.dev/skills/qinye6/pi-ccg/audit)
Your own site
<a href="https://agentmods.dev/skills/qinye6/pi-ccg/audit"><img src="https://agentmods.dev/badge/skills/qinye6/pi-ccg/audit.svg" alt="Measured on agentmods" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,919 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 97% copy Near-identical to another mod 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 $0.00054 $0.01919
Opus 5 $0.00027 $0.00959
Sonnet 5 $0.00011 $0.00384
Haiku 4.5 $0.00005 $0.00192

Measured 6d ago against content hash 3b258cc6a2c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

audit 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 6d 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.

Origin

This is a copy

97% identical to audit — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

templates/skills/impeccable/audit/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MANDATORY PREPARATION

Invoke /frontend-design — it contains design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /teach-impeccable first.


Run systematic technical quality checks and generate a comprehensive report. Don't fix issues — document them for other commands to address.

This is a code-level audit, not a design critique. Check what's measurable and verifiable in the implementation.

Diagnostic Scan

Run comprehensive checks across 5 dimensions. Score each dimension 0-4 using the criteria below.

1. Accessibility (A11y)

Check for:

  • Contrast issues: Text contrast ratios < 4.5:1 (or 7:1 for AAA)
  • Missing ARIA: Interactive elements without proper roles, labels, or states
  • Keyboard navigation: Missing focus indicators, illogical tab order, keyboard traps
  • Semantic HTML: Improper heading hierarchy, missing landmarks, divs instead of buttons
  • Alt text: Missing or poor image descriptions
  • Form issues: Inputs without labels, poor error messaging, missing required indicators

Score 0-4: 0=Inaccessible (fails WCAG A), 1=Major gaps (few ARIA labels, no keyboard nav), 2=Partial (some a11y effort, significant gaps), 3=Good (WCAG AA mostly met, minor gaps), 4=Excellent (WCAG AA fully met, approaches AAA)

2. Performance

Check for:

  • Layout thrashing: Reading/writing layout properties in loops
  • Expensive animations: Animating layout properties (width, height, top, left) instead of transform/opacity
  • Missing optimization: Images without lazy loading, unoptimized assets, missing will-change
  • Bundle size: Unnecessary imports, unused dependencies
  • Render performance: Unnecessary re-renders, missing memoization

Score 0-4: 0=Severe issues (layout thrash, unoptimized everything), 1=Major problems (no lazy loading, expensive animations), 2=Partial (some optimization, gaps remain), 3=Good (mostly optimized, minor improvements possible), 4=Excellent (fast, lean, well-optimized)

Read the full file on GitHub · 148 lines

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. 6d ago First seen · 148 lines · 54 tokens per session scan A 3b258cc6a2c6

Subscribe to this mod's changes

audit is a skill published in the GitHub repository qinye6/pi-ccg (10 stars, last pushed 12d ago), licensed MIT. It adds 54 tokens to every session and 1,919 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to audit, differing in 2 lines, and is treated as a copy.

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