audit-ui
Skill0 starsChanged 20 days agoMITView on GitHub
Audit a UI against the ui-ux rules from screenshots or a running app. Quick by default, full on request. Run only when the user types /audit-ui.
In this repository6 other files it gives its agents.
- asd-ste100Skill
- audit-repoSkill
- ooga-boggaSkill
- session-endSkill
- ui-uxSkill
- yagniSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 13
Read the ui-ux skill first.
- Distinctive: line 30
Use the cheap checks first.
- Very specific: line 44
Look for .audit-ui-baseline.md in the repo root.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Audit UI
Find real UI flaws. Report them with evidence. Edit nothing until the user approves a fix.
Input
- The argument is a screen name, image path, URL or app. Add
fullfor the full matrix. With no argument, ask what to audit. - Read the
ui-uxskill first. - Judge only what you saw. Read each image once.
Capture
Quick (default): at most 6 images of one screen.
- Default state, light.
- Dark.
- Text at 200 percent.
- Empty state.
- Error or very long text.
- Keyboard open, if the screen has an input.
Full: add the smallest and largest window, landscape, loading, many items, missing image, and Increase Contrast.
Name each cell you could not capture.
Tools
Use the cheap checks first. Images cost the most.
- Android with litterboxADB:
pp auditlists targets under 48 dp and controls without a label.pp statesmakes one contact sheet of the states.pp compare a.png b.pngshows only what changed. - Other platforms: use the accessibility tree or the browser dev tools. Zoom into an image only to confirm a finding.
Check
- Job: one main action, the most visible item.
- Consistency: spacing, type, colors and radii match sibling screens. Name the value you measured.
- Targets, contrast, labels, color-only signals, text that crops at 200 percent.
- States: name each one you saw and each one that is missing.
- Rendering: a square background behind a rounded shape, a blurry or stretched icon, a seam or halo.
- Motion: a screen that refreshes before it animates, two animations on one change.
- Words: raw error codes, truncated text, two names for one thing.
Baseline
Look for .audit-ui-baseline.md in the repo root. It lists accepted findings, one per line: screen - problem. Count them as "known". Do not report them. Offer to add newly accepted findings.
Report
One line per finding, high severity first: screen - problem - severity - evidence - fix.
- Evidence: a measured value (
contrast 2.4:1, needs 4.5:1) or a cropped image. - Severity: high = a user cannot finish the task or operate a control. Medium = a flaw users notice. Low = polish.
- Fix: the exact value, marked safe or risky. End with a count per severity and the cells you skipped. If you find nothing, say so.
Then ask which fixes to apply. Apply only those. Capture the same cells again and report what is fixed.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

