// Compute web accessibility scores (0-100, A-F grades) with severity scoring, confidence levels, and remediation tracking across audits.
| name | web-severity-scoring |
| description | Compute web accessibility scores (0-100, A-F grades) with severity scoring, confidence levels, and remediation tracking across audits. |
Page Score = 100 - (sum of weighted findings)
Weights:
Critical (confirmed, all three sources): -18 points
Critical (high confidence, both sources): -15 points
Critical (high confidence, single source): -10 points
Critical (medium confidence): -7 points
Critical (low confidence): -3 points
Serious (high confidence): -7 points
Serious (medium confidence): -5 points
Serious (low confidence): -2 points
Moderate (high confidence): -3 points
Moderate (medium confidence): -2 points
Moderate (low confidence): -1 point
Minor: -1 point
Floor: 0 (minimum score)
Use a profile to tune strictness by context while keeping comparable grade bands:
| Profile | Intended Use | Multiplier |
|---|---|---|
| balanced (default) | Standard product delivery | 1.0 |
| strict | Regulated/public-sector releases | 1.15 |
| advisory | Early design and prototyping | 0.8 |
Apply the profile multiplier to each final deduction after confidence handling.
page_score = 100
for each finding:
base = lookup(severity, confidence_level, source_count) // from table above
multiplier = 1.2 if confidence_level == "confirmed" else 1.0
deduction = base × multiplier
page_score = max(0, page_score - deduction)
The values in the lookup table above are base deductions (pre-multiplier). "Confirmed" findings (validated by all three sources: axe-core + agent review + Playwright) apply an additional 1.2× multiplier.
Example: One Critical finding at confirmed confidence = 18 (base) × 1.2 = 21.6 points deducted → page score 78.
To reduce false-positive inflation and stabilize trends, apply a calibration coefficient by rule family:
calibrated_deduction = deduction × calibration_coefficient(rule_family)
Recommended initial coefficients:
| Rule Family | Coefficient | Rationale |
|---|---|---|
| Keyboard/focus | 1.1 | High functional impact at runtime |
| Forms/labels/errors | 1.05 | High completion risk for core tasks |
| Semantics/structure | 1.0 | Baseline scoring |
| Link text/context | 0.9 | Higher context variance |
| Content quality (alt/link clarity) | 0.85 | Needs human review more often |
Update coefficients quarterly from confirmed outcomes. Avoid changing coefficients more than +/-0.1 per cycle.
| Score | Grade | Meaning |
|---|---|---|
| 90-100 | A | Excellent - minor or no issues, meets WCAG AA |
| 75-89 | B | Good - some issues, mostly meets WCAG AA |
| 50-74 | C | Needs Work - multiple issues, partial WCAG AA compliance |
| 25-49 | D | Poor - significant accessibility barriers |
| 0-24 | F | Failing - critical barriers, likely unusable with AT |
| Level | Weight | When to Use |
|---|---|---|
| Confirmed | 120% | Validated by all three sources: axe-core + agent review + Playwright behavioral testing |
| High | 100% | Confirmed by axe-core + agent, or definitively structural (missing alt, no labels, no lang) |
| Medium | 70% | Found by one source, likely issue (heading edge cases, questionable ARIA, possible keyboard traps) |
| Low | 30% | Possible issue, needs human review (alt text quality, reading order, context-dependent link text) |
Issues found by both axe-core AND agent review are automatically upgraded to high confidence regardless of individual confidence ratings.
Issues found by all three sources (axe-core + agent review + Playwright behavioral testing) are upgraded to confirmed confidence with a 1.2x weight multiplier. This applies when:
When Playwright is not available, the maximum achievable confidence remains High (100%). The confirmed tier is additive — it never downgrades findings.
Track predicted confidence versus post-triage outcome and compute drift:
drift = abs(predicted_confidence_score - observed_confirmation_rate)
Operational guideline:
## Accessibility Score
| Metric | Value |
|--------|-------|
| Page | [URL] |
| Score | [0-100] |
| Grade | [A-F] |
| Critical | [count] |
| Serious | [count] |
| Moderate | [count] |
| Minor | [count] |
## Accessibility Scorecard
| Page | Score | Grade | Critical | Serious | Moderate | Minor |
|------|-------|-------|----------|---------|----------|-------|
| / | 82 | B | 0 | 2 | 3 | 1 |
| /login | 91 | A | 0 | 0 | 2 | 1 |
| /dashboard | 45 | D | 2 | 4 | 3 | 2 |
| **Average** | **72.7** | **C** | **2** | **6** | **8** | **4** |
| Pattern Type | Definition | Remediation ROI |
|---|---|---|
| Systemic | Same issue on every audited page | Highest - usually layout/nav, fix once |
| Template | Same issue on pages sharing a component | High - fix the shared component |
| Page-specific | Unique to one page | Normal - fix individually |
| Status | Definition |
|---|---|
| Fixed | Issue was in previous report but no longer present |
| New | Issue not in previous report, appears now |
| Persistent | Issue remains from previous report |
| Regressed | Issue was previously fixed but has returned |
(fixed / previous_total) * 100current_score - previous_scoreWhen audit scope changes between runs, use normalized change:
normalized_score = raw_score - (scope_variance_penalty)
scope_variance_penalty = min(10, abs(previous_pages - current_pages) * 0.8)
Use normalized score for trend charts and use raw score for release gates.
Include these fields in generated score artifacts for reproducibility:
scoring:
model: web-severity-scoring-v2
profile: balanced
calibrationVersion: 2026-q2
confidenceSources:
- axe-core
- agent-review
- playwright
failThresholds:
critical: 1
score: 75
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