agentleFS
spizganedspizganed/skills/audit-ui/SKILL.md

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.

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
  1. Very specific:

    Read the ui-ux skill first.

    line 13
  2. Distinctive:

    Use the cheap checks first.

    line 30
  3. Very specific:

    Look for .audit-ui-baseline.md in the repo root.

    line 44

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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 full for the full matrix. With no argument, ask what to audit.
  • Read the ui-ux skill first.
  • Judge only what you saw. Read each image once.

Capture

Quick (default): at most 6 images of one screen.

  1. Default state, light.
  2. Dark.
  3. Text at 200 percent.
  4. Empty state.
  5. Error or very long text.
  6. 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 audit lists targets under 48 dp and controls without a label. pp states makes one contact sheet of the states. pp compare a.png b.png shows 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.

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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.