Accessibility Bug Reporting Skill

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Load this skill whenever you are filing, reviewing, or generating accessibility bug reports — whether from automated tool output, manual testing, user reports, or testing with disabled people. The purpose of this skill is to make accessibility findings easier to report accurately, connect them to real people and tasks, and let developers reproduce, understand, and fix them without unnecessary back-and-forth. Absolutely always describe the barrier and its task impact before citing a WCAG criterion. Under no circumstances guess a disability diagnosis, treat automated tool output as a conformance conclusion, or expose secrets/personal data in a report.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Accessibility Bug Reporting Skill skill

What this skill tells your AI

The instructions your AI receives, as published by mgifford/accessibility-skills in skills/bug-reporting/SKILL.md and read by ahel’s review.

Canonical source: examples/ACCESSIBILITY_BUG_REPORTING_BEST_PRACTICES.md in mgifford/ACCESSIBILITY.md This skill is derived from that file. When in doubt, the example is authoritative.

Apply these rules when filing, reviewing, or generating accessibility bug reports from any source — automated tool output, manual testing, user reports, or testing with disabled people.


Core Mandate

A useful report lets another person understand the barrier, identify the people affected, reproduce it when possible, judge its impact, identify the responsible source, and verify the correction. Not every field applies to every finding — do not delay a valid report because a selector, tool rule, WCAG mapping, or code-level fix is unavailable.

Principles:

  1. Describe the barrier before the standard — state what task or interaction fails and under what conditions
  2. Identify the people affected — describe access needs/interaction methods/AT when evidence supports it; never infer a diagnosis or imply one person represents an entire disability group
  3. State the evidence basis — distinguish user reports, testing with disabled people, manual evaluation, automated results, and reasoned inference
  4. Record observed facts separately from assumptions, suspected causes, and suggested fixes
  5. Use complementary testing methods — automated, manual, and testing-with-disabled-people answer different questions; none substitutes for the others
  6. Collect only relevant context — browser/AT/viewport/preferences matter only when they affect the result
  7. Protect people and systems — remove personal data, credentials, tokens, and private content from every attachment
  8. Treat tool output as evidence, not a conformance decision
  9. Separate severity from priority — task impact and workaround quality inform severity; reach, frequency, deadlines, and business context inform priority
  10. Fix the source when possible — a shared-component/template/token fix is usually safer than many page-specific patches
  11. Close with verification evidence — a code change, automated pass, or visual check alone may not prove the user-facing barrier is gone

Terminology

TermMeaning
FindingAn observed or suspected accessibility barrier or test result
IssueTracked work that may contain one or more related findings
OccurrenceOne place or state in which a finding appears
Root causeThe source producing one or more occurrences (e.g., a shared component)
Affected peoplePeople whose task/experience is confirmed or reasonably expected to be affected — describe only as specifically as the evidence allows
Manual accessibility evaluationHuman evaluation using relevant inputs/settings/AT — distinct from testing with disabled people
Testing with disabled peopleDisabled participants using representative tasks, providing evidence from lived experience
Conformance conclusionA conclusion about a defined scope, standard, level, and evaluation method

A failed automated rule does not automatically prove a WCAG failure. A passed automated rule does not prove conformance. Confirm the result and its scope before making a conformance claim.


Severity Scale (this skill)

SeverityDefinition
BlockerA core task cannot be completed, or there's a serious safety/privacy/data-loss risk, with no reasonable workaround
MajorA task fails, is unreliable, or requires a substantial workaround
ModerateThe task remains possible but requires significant extra effort or assistance
MinorLocalized friction without material task loss
Needs reviewThe result or impact has not been confirmed

This is an example scale, not a universal standard — calibrate locally with disabled people and product teams, and document local definitions.

Severity, priority, reach, frequency, and confidence answer different questions — do not conflate them:

FieldQuestion
SeverityHow serious is the task-level consequence in this occurrence?
PriorityWhen should the team address it?
ReachHow many people/pages/components may be affected?
FrequencyHow often does the occurrence appear?
ConfidenceHow certain is the finding/impact/cause understanding?

Frequency and reach can increase priority, but they do not change the severity of one occurrence — do not automatically escalate a low-severity issue to higher severity just because it appears on many pages; record that as a priority factor instead.


Critical: Minimum Information for a Useful Report

A report can be valid at intake without being ready for remediation — these are different bars. Do not reject a report from a user for lacking technical detail; a triager collects locators, standards mapping, and a verification plan afterward. See Actionable Findings and Repeatability below for the full stage model.

Valid intake needs only: title, location/state (as precisely as the reporter can safely give), task and impact, actual result, evidence basis.

Additional fields for evaluation and remediation — collected by triage, not required from the reporter:

FieldWhat to record
TitleComponent/location, failure, and task effect
Location and stateSafe URL/route, component name, build, and the state in which the problem appears
People affectedAccess needs/interaction methods/AT confirmed or likely affected; more than one group when relevant
Evidence basis and confidenceUser report / testing with disabled people / manual evaluation / automated result / reasoned inference, plus uncertainty
Task and impactWhat the person is trying to do, how the barrier affects it, workaround quality/cost
Steps or conditionsThe shortest reliable path, including preconditions
Expected resultThe user-facing behavior that should occur
Actual resultWhat was observed, including relevant AT output
EnvironmentOnly the browser/OS/AT/input/viewport/zoom/preferences/locale that affect the result
EvidenceA small redacted excerpt or accessible attachment when it helps

Critical: Write a Specific Title

Identify the component, failure, and consequence.

Good: Checkout: card error text is not associated with the field / Account menu: keyboard focus moves behind the open dialog

Avoid: Accessibility issue, Screen reader bug, WCAG failure — these don't identify the affected behavior. Including a WCAG criterion in the title is optional; the report should stay understandable to someone who doesn't know the criterion number.


Critical: Record Location and State Safely

Page or route: /checkout/payment
Build or commit: 2026.07.18.2
Component: Payment form
UI state: Form submitted with an invalid card number
Account role: Test customer

Use an exact URL only when its query/fragment values are relevant AND safe to share. Remove or replace session identifiers, access tokens, email addresses, names, account numbers, and other secrets/personal data:

Unsafe: https://example.com/orders/847291?token=secret-value
Safe:   https://example.com/orders/[test-order-id]

Never include production credentials — provide an approved test account through the organization's secure process.

Element locators: start with a human-readable component name and location; add a stable technical locator if it helps ([data-component="cookie-settings"] [data-action="close"], a tool-native selector, an accessibility-tree path, a test ID, or a short XPath). A full absolute DOM XPath should not be mandatory — absolute paths are brittle when wrappers, list positions, or generated markup change. If no reliable locator exists, describe the visible label, accessible name, role, nearby heading, and interaction state instead. Record iframe/shadow-root boundaries when relevant.


Critical: Preconditions and Steps to Reproduce

List only the steps needed to reach the failure, including input method and AT command when they matter:

Preconditions:
- Signed in as a test customer
- Cart contains one item
- NVDA is running with Firefox

Steps:
1. Open the checkout payment step.
2. Leave the card number empty.
3. Move to the Submit order button with Tab.
4. Activate the button with Enter.
5. Listen for feedback without moving focus.

For intermittent findings, record how many attempts reproduced it, timing/ network/loading conditions, and the earliest known build. "Cannot reproduce" is a triage state, not evidence the report is invalid — preserve the original conditions.


Critical: Separate Expected and Actual Results

Write expected behavior as an outcome, not a required implementation:

Expected:
After submission, the card number error is associated with the field. When
focus moves to the field, its label, invalid state, and error are available.

Actual:
The visible error appears, but the card number field has no programmatic error
association. When focus moves to the field, NVDA announces only its label.

Avoid putting a specific ARIA attribute or JS method in the expected result unless the product contract requires that implementation — put possible code changes under "Suggested fix" instead.


Critical: Identify People Affected — Never Guess a Diagnosis

Connect the barrier to people and a task, not only to a technical defect or tool rule. Describe people in terms of access needs/interaction methods/AT when evidence supports it — do not guess a diagnosis, require disclosure of one, or imply every person in a disability group has the same experience.

Evidence statusMeaning
Reported or confirmed by affected peopleA disabled person reported it, or it was observed while disabled participants performed the task
Observed through manual evaluationAn evaluator reproduced it using the relevant method/setting/AT — evidence of behavior, not equivalent to testing with disabled people
LikelyAffected population and impact reasonably inferred but not confirmed with affected people
Unknown or needs reviewFrom automation or technical inspection; user impact not yet established

Useful: "People who use screen readers are likely to be affected, including some blind and low-vision people. Manual evaluation with NVDA and Firefox found that submission failure was not announced. The impact has not yet been confirmed through testing with disabled participants."

Not useful: "This affects blind people and violates WCAG."

A report can identify more than one affected population — avoid assuming a one-to-one relationship between a WCAG criterion or automated rule and a disability group.


Serious: Record Only the Relevant Environment

An environment list is useful only when it describes conditions that produced the result — do not paste a generic browser/AT matrix into every issue:

Test date and time: 2026-07-18 14:30 EDT
Browser: Firefox 140
Operating system: Windows 11 24H2
Assistive technology: NVDA 2026.1
Input: Keyboard
Viewport: 1280 by 720 CSS pixels
Zoom or text size: 200% text size
Color scheme: Dark
Forced colors: Active
prefers-reduced-motion: reduce
prefers-contrast: more
Locale and language: en-CA

Use the value actually tested — do not infer a device type from a viewport-width breakpoint; viewport, input capability, browser, OS, and physical device are separate facts. Relevant CSS preference values: prefers-color-scheme (light/dark), prefers-reduced-motion (reduce/no-preference), prefers-contrast (more/less/custom/no-preference), forced-colors (active/none).


Serious: Add Technical Evidence Without Exposing Data

Technical evidence is optional when the observed behavior is already clear. Automated and technical findings normally need a focused HTML/DOM/ accessibility-tree/component excerpt before code-level remediation — triage collects this, not the reporter. A disabled person or other reporter may not know how to capture it, and requiring it before accepting a report excludes exactly the people best placed to notice a barrier. Don't assume source HTML represents the live DOM or accessibility tree — client rendering and hydration can make them diverge; capture live-DOM/ accessibility-tree output when the finding depends on runtime state.

<label for="card-number">Card number</label>
<input id="card-number" name="card-number">
<p id="card-number-error">Enter a card number.</p>

Explain what the excerpt demonstrates — here, the visible error isn't programmatically associated with the field. Do not assume an excerpt shows the entire computed accessibility tree.

Before sharing HTML, DOM snapshots, logs, or screenshots, remove: tokens/ cookies/hidden credentials; names/addresses/account data; private form field values; unnecessary internal URLs or IDs. For screenshots/recordings: describe the relevant content in the issue text; use arrows/markers plus text, not color alone; provide captions/transcripts for video/audio; crop or redact faces/names/private content.


Serious: Standards, Rules, and Test Results

WCAG mapping — record the exact version, criterion, and level when known; use suspected/needs review when uncertain; don't add criteria merely because a tool lists them as tags:

Standard: WCAG 2.2
Success Criterion: 1.3.1 Info and Relationships
Level: A
Relationship: Confirmed failure

Tool/rule information for automated results:

Tool and version: axe-core 4.9.1
Rule ID and version: button-name
Configuration: wcag2a, wcag2aa tags
Test method: Automated
Raw outcome: failed
Human review: Confirmed / Rejected / Needs review

Keep a tool's impact/confidence value separate from the project's severity — tool metadata is a heuristic, not the task/context/workaround/root-cause assessment. If using ACT Rules Format 1.1, preserve one of its outcomes (inapplicable, passed, failed, cantTell, untested) — send cantTell results for human review; a passed/inapplicable result may still need other tests before a WCAG conclusion.

Obligation and handling are separate from the WCAG mapping. Assign them per standards mapping, not by inference from severity or lifecycle status:

  • obligation: required | aspirational | advisory | unmapped | not-applicable. A confirmed AAA finding under an AA baseline target is aspirational, not advisory — record it as a visible stretch goal, not an arbitrary suggestion. A project may elevate a specific AAA criterion to required; cite the local policy or authority in obligation_basis when it does. Do not describe satisfying individual AAA criteria as WCAG AAA conformance.
  • handling: report | review | suppress. Send an unresolved automated indicator to review, never straight to report as a confirmed failure or to suppress. suppress requires a documented exception — narrow scope, reason, evidence, owner, and a review or expiry date — and never means the finding is resolved or deleted.

See Accessibility Finding Tracking: Policy Classification for the full definitions and worked examples.


Serious: Plan Complementary Testing and Verification

Automated testing, manual evaluation, and testing with disabled people answer different questions — state which methods are required, why, and their limits.

  • Automated: identifies machine-testable patterns and gives repeatable regression coverage; cannot determine full user impact, usability, or conformance. Preserve raw result/config; require human review before treating as a confirmed user-facing barrier; don't treat an automated pass as sufficient closure evidence.
  • Manual accessibility evaluation: required when the result depends on human judgment or interaction — keyboard operation, focus, screen reader output, zoom/reflow, forced colors, labels/errors/status messages, and relevant states. Test a risk-based set of environments, not every combination for every issue.
  • Testing with disabled people: examines real tasks and lived interaction; can find barriers standards-based evaluation misses. Plan it when: the task is critical (authentication, payment, health, safety, public services); the barrier/fix has major or uncertain impact; the component is complex/novel; workaround quality is unclear; reports from disabled people conflict with technical results. Do not use disabled participants to rediscover obvious known failures that should be fixed first. One participant confirms that person's experience — don't treat them as representative of an entire disability group. This does not replace standards-based evaluation, and standards-based evaluation doesn't replace learning directly from disabled people.

Record a verification plan: automated checks required/planned/completed; manual checks required/planned/completed; relevant supported environments; testing with disabled people required/planned/completed with rationale.


Moderate: Record Scope, Frequency, and Root Cause

Observed occurrences: 7
Pages checked: 12
Pages affected: 5
States checked: Default, error, disabled
Likely source: Shared address form component
Unchecked scope: Mobile app and authenticated administrator flow

Don't extrapolate from a sample without saying it's an estimate — a sitewide template defect and seven unrelated content errors may share a count but need different work. Group findings conservatively — combine occurrences only when they share the same remediation unit or confirmed root cause; don't merge findings merely because they share a rule ID or similar selector.


Suggested Fixes and Acceptance Criteria

A suggested fix is optional — label it as a proposal; the responsible team may know a safer source-level correction:

Suggested fix:
Associate the error message with the field and expose the invalid state after
validation.

Acceptance criteria should describe verifiable user-facing behavior, not just an attribute/selector/automated-rule result:

- Submitting the empty field identifies the card number error in text.
- The field exposes the error association and invalid state programmatically.
- Keyboard focus remains predictable.
- The original interaction is manually retested.
- Testing with disabled people is completed when required by the verification plan.

Markdown Issue Template

## Accessibility finding

### Summary
[Component or location: failure and task effect]

### Location and state
- Page or route:
- Build or commit:
- Component:
- Preconditions and UI state:
- Safe locator (optional):

### Steps or conditions
1.
2.

### Expected result
[Describe the user-facing outcome.]

### Actual result
[Describe what was observed.]

### People affected and impact
- People confirmed or likely to be affected:
- Relevant access needs, interaction methods, or assistive technologies:
- Affected task:
- Consequence:
- Workaround and its cost, if any:
- Evidence basis: User report / Testing with disabled people / Manual evaluation / Automated result / Reasoned inference
- Confidence: Confirmed for reported scope / Observed / Likely / Unknown
- Scope limits or uncertainty:

### Relevant environment
- Test date:
- Browser and operating system:
- Assistive technology and version:
- Input method:
- Viewport, zoom, text size, and orientation:
- Active preferences or display modes:

### Evidence
[Small redacted excerpt, attachment description, or link to protected evidence.]

### Standards and tests (optional)
- WCAG version, success criterion, and level:
- Relationship: Confirmed / Suspected / Needs review
- Tool, rule, version, and configuration:

### Verification plan
- Automated checks: Required / Not required / Planned / Completed
- Manual checks: Required / Not required / Planned / Completed
- Testing with disabled people: Required / Not required / Not yet determined / Planned / Completed
- Rationale:

### Scope and source
- Occurrences and sample checked:
- Suspected or confirmed root cause:

### Suggested fix (optional)
[Describe a possible approach without replacing acceptance criteria.]

### Acceptance criteria
- [ ] The reported user-facing barrier is no longer present.
- [ ] The original environment and interaction have been manually retested.
- [ ] An automated pass was not treated as sufficient evidence on its own.
- [ ] Testing with disabled people was completed when required by the verification plan.
- [ ] The impact statement does not go beyond the available evidence.
- [ ] Appropriate regression coverage has been added or updated.

### Privacy and attachment check
- [ ] Secrets, personal data, and private content have been removed.
- [ ] Screenshots are described and recordings have captions or transcripts.

Machine-Readable Finding Schema

Machine-readable output can support imports, reporting, and regression analysis. This JSON format is optional — it must not require fields that don't exist for manual or user-reported findings.

The canonical, versioned, schema-validated format is schema_version: "2.0" or "2.1" (JSON Schema Draft 2020-12), defined in examples/schemas/ in mgifford/ACCESSIBILITY.md. Do not use schema_version: "1.1" — that was an illustrative shape from an earlier draft of this skill and has been replaced. "2.1" adds an optional top-level policy object (standards_obligations, handling, evidence_status, suppression) for the obligation/handling classification above; a "2.0" record must not populate it. policy is never fingerprint identity and never alters tracking.fingerprints. A concise excerpt using the current schema:

{
  "schema_version": "2.0",
  "title": "Checkout: card error text is not associated with the field",
  "reported_at": "2026-07-18T14:30:00-04:00",
  "source": { "method": "manual-evaluation" },
  "location": {
    "safe_url": "https://example.com/checkout/payment",
    "component": "Payment form"
  },
  "description": {
    "summary": "The visible card error is not programmatically associated with the field.",
    "expected": "The field exposes its label, invalid state, and associated error programmatically.",
    "actual": "A visible error appears, but the field has no error association."
  },
  "affected_people": [{
    "description": "People who use screen readers",
    "status": "likely",
    "evidence_basis": "manual-evaluation",
    "scope_limit": "Observed with NVDA and Firefox; not yet evaluated with disabled participants"
  }],
  "standards": [{ "standard": "WCAG", "version": "2.2", "requirement": "1.3.1", "level": "A", "relationship": "confirmed-failure" }],
  "verification": {
    "automated": { "required": true, "status": "planned" },
    "manual": { "required": true, "status": "completed-for-original-finding" },
    "testing_with_disabled_people": { "required": true, "status": "planned" }
  }
}

Shortened here. Read the whole file on GitHub.

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github.com/mgifford/accessibility-skills