audit

A review process for checking a product experience, such as onboarding, checkout, settings, or another multi-step website or app flow, using captured screenshots.

In plain words
What is it for?
Use it to inspect user journeys and screens, document problems in order of importance, and identify accessibility risks and areas that screenshots cannot confirm.
Why use it?
It turns a general opinion about a product into findings tied to specific screens and steps. It also highlights usability, visual-design, and accessibility problems that may affect users.

Skill for Claude CodeCodex

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/xiaomimimo/mimo-code/audit
Any agent
npx skills add XiaomiMiMo/MiMo-Code --skill audit
Clone the repo
git clone --depth 1 https://github.com/XiaomiMiMo/MiMo-Code

Made for: Claude Code, Codex.

Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,773 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00091 $0.01773
Opus 5 $0.00046 $0.00886
Sonnet 5 $0.00018 $0.00355
Haiku 4.5 $0.00009 $0.00177

Measured 2d ago against content hash 616e74f59da2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 2d 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

Copies of this mod

1 near-identical copy found in the catalogue:

packages/opencode/src/skill/builtin/.bundle/product-design/workflows/audit/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Audit

Use this skill when the user wants to audit, review, critique, inspect, assess, analyze, evaluate, or give feedback on a product flow, journey, funnel, onboarding path, checkout path, settings path, screen, or other product experience.

The output is not a loose opinion. The output is:

  • Screenshots of the flow
  • Those screenshots rendered inline in the report
  • A numbered step list
  • UX and design findings tied to steps or screenshots
  • Accessibility risks tied to steps or screenshots
  • Clear limits on what could not be checked from screenshots alone

Critical Overrides

User Context

Before starting, load $user-context and run its preflight script when local shell access is available.

Use saved product URLs, Figma files, screenshots, reference images, codebase paths, Storybook, tokens, design systems, brand assets, component refs, browser preferences, and share targets as grounding material when relevant.

Do not inspect every saved reference. Inspect only what the current task needs.

Route

Before auditing:

  1. Identify the product or surface.
  2. Identify the flow or task.
  3. Choose the capture tool.
  4. Capture the flow.
  5. Save and inspect each screenshot.
  6. Return the audit inline with the accepted screenshots.

Output rules:

  • Default to a concise inline report with screenshots rendered in the chat.
  • Saving screenshots and notes in the workspace is an internal implementation detail. Do not ask the user to choose a local folder.
  • If the user explicitly asks for Figma, create the Figma audit board in addition to the inline report.
  • After the inline report, ask once: Want me to plot this out in Figma with the screenshots and notes?

Capture rules:

  • Follow the Browser Choice rule in $index.
  • If none of those can capture valid screenshots or control the flow, stop and report the blocker.

Read the full file on GitHub · 161 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. 2d ago First seen · 161 lines · 91 tokens per session scan A 616e74f59da2

Subscribe to this mod's changes

audit is a skill published in the GitHub repository XiaomiMiMo/MiMo-Code (12,904 stars, last pushed 2d ago), licensed MIT. It adds 91 tokens to every session and 1,773 once invoked, about $0.0005 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 2026-08-30.

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