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Frontend · Version 1.3.0 · Reviewed 2026-08-02

Widget Instruction Auditor

Improve control-label association and constraint instruction review with evidence, explicit trade-offs, and a verification plan.

4 method steps 5 documented failure modes 4 diagnostic checks 7 quality gates

Verifies that native and custom controls expose programmatic labels, required formats, constraints, errors, and visible instructions without relying on placeholders or visual position.

₹199 one-time

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What this skill helps you do

  • Control-label association
  • Constraint instruction review
  • Error relationship verification

How Widget Instruction Auditor works

You provide

Component code, field metrics, and the failing interaction

It inspects

Semantics, focus, and render behavior for control-label association

It decides

A constraint instruction review fix using native elements where possible

You verify

Keyboard traversal and assistive output re-checked

What it checks first

Widget Instruction Auditor verifies that native and custom controls expose programmatic labels, required formats, constraints, errors, and visible instructions without relying on placeholders or visual position. Use it when the work involves Control-label association, Constraint instruction review, Error relationship verification.

  1. Whether the control uses a native element with real semantics or a div reconstructed with ARIA.
  2. Focus behavior across route changes, dialogs, and dynamic content insertion.
  3. Which Core Web Vital is failing, since LCP, INP, and CLS have unrelated causes.
  4. Whether state lives at the level that actually needs it, since misplaced state re-renders unrelated subtrees.

Failure modes it recognizes

  • A dialog that never moves focus into itself, leaving keyboard users stranded on the page behind it.
  • Layout shift from media without reserved dimensions, damaging CLS after content loads.
  • A long task blocking the main thread so interactions queue and INP degrades.
  • An inline object or function in props defeating memoization on every render.
  • Hydration mismatch from rendering time, randomness, or browser APIs during server render.

Answers it will reject

  • Patching a non-semantic control with ARIA instead of using the native element that behaves correctly.
  • Measuring performance in development mode, where the framework runs work that never ships.
  • Wrapping everything in memo, which adds comparison cost without removing identity churn.

Decision rules it applies

  • Prefer native semantic elements; ARIA is a correction layer rather than a foundation.
  • Reserve space for anything that loads asynchronously so layout stays stable.
  • Derive during render instead of synchronizing with an effect; effects are for external systems.

Evidence it asks for

  • Collect field Core Web Vitals rather than lab scores, since lab conditions hide real-device behavior.
  • Profile renders to attribute them to a specific trigger before optimizing.
  • Test keyboard-only traversal and screen-reader output for any interactive change.

The method inside

  1. Map the artifact, actors, boundaries, and invariants relevant to control-label association.
  2. Trace concrete failure or abuse paths for constraint instruction review; do not report checklist items without a mechanism.
  3. Prioritize error relationship verification findings by impact, likelihood, confidence, and cost of correction.
  4. Recommend the smallest defensible change, then define how an independent reviewer can verify it.

Deliverables

  • Control-label association assessment
  • Constraint instruction review decision and action plan
  • Error relationship verification verification checklist

Evidence requirements

  • Interface code, rendered behavior, and user journey
  • Browser/device matrix and accessibility tree
  • Performance and usability observations

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Audit this multi-step form for labels and instructions, including custom date pickers, required formats, inline errors, and icon-only help controls.

Expected output

Inspect the accessibility API name, role, value, description, and invalid state for each control. Persistent labels remain after entry, constraints are associated before failure, errors identify both problem and correction, and visible action text matches the programmatic name used by speech input...

Boundaries and compatibility

Ideal for

  • Control-label association: produce a decision or artifact grounded in supplied evidence.
  • Constraint instruction review: produce a decision or artifact grounded in supplied evidence.
  • Error relationship verification: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Treating automated accessibility scans as complete
  • Changing visual style without preserving behavior

Agent compatibility

  • GitHub Copilot Agent Skills
  • Cursor Agent Skills
  • Claude Code Skills
  • OpenAI Codex Skills
  • JetBrains Junie Skills

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.