Web Interface Guidelines Reviewer
vercel-labs/openreview
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my…
Reference data, not a reviewer. An agent skill from Community-Access/accessibility-agents.
Install Kb Web Severity Scoring
$ npx skills add Community-Access/accessibility-agents --skill kb-web-severity-scoring -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Community-Access/accessibility-agents kb-web-severity-scoring --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Community-Access/accessibility-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kb-web-severity-scoring .claude/skills/kb-web-severity-scoring && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "kb-web-severity-scoring" agent skill from https://github.com/Community-Access/accessibility-agents/tree/main/skills/kb-web-severity-scoring into .claude/skills/kb-web-severity-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kb-web-severity-scoring", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Community-Access/accessibility-agents/tree/main/skills/kb-web-severity-scoringType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Community-Access/accessibility-agents --skill kb-web-severity-scoring -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Community-Access/accessibility-agents kb-web-severity-scoring --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Community-Access/accessibility-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/kb-web-severity-scoring .agents/skills/kb-web-severity-scoring && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kb-web-severity-scoring" agent skill from https://github.com/Community-Access/accessibility-agents/tree/main/skills/kb-web-severity-scoring into .agents/skills/kb-web-severity-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kb-web-severity-scoring", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Community-Access/accessibility-agents --skill kb-web-severity-scoring -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Community-Access/accessibility-agents kb-web-severity-scoring --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Community-Access/accessibility-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/kb-web-severity-scoring .cursor/skills/kb-web-severity-scoring && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "kb-web-severity-scoring" agent skill from https://github.com/Community-Access/accessibility-agents/tree/main/skills/kb-web-severity-scoring into .cursor/skills/kb-web-severity-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kb-web-severity-scoring", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Community-Access/accessibility-agents.git --path skills/kb-web-severity-scoring--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Community-Access/accessibility-agents --skill kb-web-severity-scoring -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Community-Access/accessibility-agents kb-web-severity-scoring --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Community-Access/accessibility-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/kb-web-severity-scoring .gemini/skills/kb-web-severity-scoring && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "kb-web-severity-scoring" agent skill from https://github.com/Community-Access/accessibility-agents/tree/main/skills/kb-web-severity-scoring into .gemini/skills/kb-web-severity-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kb-web-severity-scoring", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Community-Access/accessibility-agents kb-web-severity-scoringInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Community-Access/accessibility-agents --skill kb-web-severity-scoring -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Community-Access/accessibility-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/kb-web-severity-scoring .github/skills/kb-web-severity-scoring && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "kb-web-severity-scoring" agent skill from https://github.com/Community-Access/accessibility-agents/tree/main/skills/kb-web-severity-scoring into .github/skills/kb-web-severity-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kb-web-severity-scoring", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Community-Access/accessibility-agents --skill kb-web-severity-scoring -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Community-Access/accessibility-agents kb-web-severity-scoring --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Community-Access/accessibility-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/kb-web-severity-scoring .opencode/skills/kb-web-severity-scoring && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "kb-web-severity-scoring" agent skill from https://github.com/Community-Access/accessibility-agents/tree/main/skills/kb-web-severity-scoring into .opencode/skills/kb-web-severity-scoring/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kb-web-severity-scoring", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
kb-web-severity-scoring- GitHub stars
- 423
- Token cost
- ~2.1k tokens
- SKILL.md length
- 718 words
- Files
- 2
- Skills in repo
- 108
- Repo updated
- First seen
- Licence
- MIT
At a glance
Reference data, not a reviewer. An agent skill from Community-Access/accessibility-agents.
- Tasks that involve Accessibility
- SKILL.md covers Web Severity Scoring, Severity Scoring Formula, Score Grades and Confidence Levels, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Kb Web Severity Scoring is an agent skill from Community-Access/accessibility-agents. Reference data, not a reviewer. Compute web accessibility scores (0-100, A-F grades) with severity scoring, confidence levels, and remediation tracking across audits.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Frontend & Design, covering Accessibility. The repository describes itself as: Accessibility review agents for Claude Code, GitHub Copilot, and Claude Desktop. Eleven specialists that enforce WCAG 2.2 AA compliance so AI coding tools stop generating… The licence is MIT.
When your agent uses it
- Tasks that involve Accessibility
Example prompts
- “/kb-web-severity-scoring”
What it can do on your machine
Read from SKILL.md and the folder at commit decf6ba. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown, pseudocode and yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Kb Web Severity Scoring loads about 2.1k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 718 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Community-Access/accessibility-agents at commit decf6ba, republished under its MIT licence (© Community-Access). 718 words, ~2,114 tokens.
Download SKILL.mdSave it as
.claude/skills/kb-web-severity-scoring/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- kb-web-severity-scoring
- description
- Reference data, not a reviewer. Compute web accessibility scores (0-100, A-F grades) with severity scoring, confidence levels, and remediation tracking across audits.
- license
- MIT
- disable-model-invocation
- true
- user-invocable
- false
- metadata.tier
- reference
- metadata.domain
- cross-cutting
- metadata.output
- none
- metadata.effort
- low
- metadata.title
- Web Severity Scoring
Web Severity Scoring
Severity Scoring Formula
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)Scoring Profiles
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.
Formula
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.
Calibration Layer (v2)
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 Grades
Each score, with its grade and meaning.
| 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 |
Confidence Levels
Each level, with weight and when to use.
| 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) |
Source Correlation
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:
- axe-core reports a violation
- Agent code review identifies the same issue
- Playwright behavioral scan confirms the issue at runtime (e.g., keyboard trap confirmed by actual Tab traversal, contrast failure confirmed by rendered CSS computation)
When Playwright is not available, the maximum achievable confidence remains High (100%). The confirmed tier is additive — it never downgrades findings.
Confidence Drift Guard
Track predicted confidence versus post-triage outcome and compute drift:
drift = abs(predicted_confidence_score - observed_confirmation_rate)Operational guideline:
- drift <= 0.10: stable
- drift 0.11-0.20: tune coefficients and source mapping
- drift > 0.20: freeze profile changes and run rule-level review
Show full SKILL.md (285 more words)Show less
Scorecard Format
Single Page
## Accessibility Score
| Metric | Value |
|--------|-------|
| Page | [URL] |
| Score | [0-100] |
| Grade | [A-F] |
| Critical | [count] |
| Serious | [count] |
| Moderate | [count] |
| Minor | [count] |Multi-Page
## 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** |Cross-Page Pattern Classification
Each pattern type, with its definition and remediation ROI.
| 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 |
Remediation Tracking
Change Classification
Each status, with its definition.
| 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 |
Progress Metrics
- Issue reduction:
(fixed / previous_total) * 100 - Score change:
current_score - previous_score - Pages improved: count of pages with higher scores than previous audit
- Trend: improving (score up 5+), stable (within 5), declining (score down 5+)
Normalized Trend Metric (Cross-Audit)
When 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.
Output Metadata (Recommended)
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: 75This metadata allows deterministic re-runs and audit-to-audit comparisons.
Issue Severity Categories
Critical
- No keyboard access to essential functionality
- Missing form labels on required fields
- Images conveying critical information have no alt text
- Color is the sole means of conveying information
- Keyboard traps with no escape
Serious
- Missing skip navigation
- Poor heading hierarchy (skipped levels)
- Focus not visible on interactive elements
- Form errors not programmatically associated
- Missing ARIA on custom widgets
Moderate
- Redundant ARIA on semantic elements
- Suboptimal heading structure (multiple H1s)
- Missing autocomplete on identity fields
- Links to new tabs without warning
- Missing table captions
Minor
- Redundant title attributes
- Suboptimal button text
- Missing landmark roles where semantic elements exist
- Decorative images with non-empty alt text
© Community-Access, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/kb-web-severity-scoring of Community-Access/accessibility-agents.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit decf6ba
Compare with similar skills
Kb Web Severity Scoring next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Kb Web Severity Scoring this skillCommunity-Access/accessibility-agents | 423 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Web Interface Guidelines Reviewervercel-labs/openreview | 1.7k | 97 repos | ~308 | Automated safety check: Pass | None | |
| Accessibility Reviewmarkmead/hyperui | 12k | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Web Animation DesignbaptisteArno/typebot.io | 11k | 2 repos | ~2.7k | Automated safety check: Pass | Custom licence | |
| Accessibility Fixeribelick/ui-skills | 9.5k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Wcag Audit PatternsvmDeshpande/ai-agent-automation | 178 | 11 repos | ~610 | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Kb Web Severity Scoring
What does Kb Web Severity Scoring do?
Reference data, not a reviewer. An agent skill from Community-Access/accessibility-agents. Kb Web Severity Scoring is an agent skill from Community-Access/accessibility-agents. Reference data, not a reviewer.
When should I use Kb Web Severity Scoring?
Kb Web Severity Scoring fits situations like: tasks that involve Accessibility.
How do I install Kb Web Severity Scoring in Claude Code?
Run `npx skills add Community-Access/accessibility-agents --skill kb-web-severity-scoring -a claude-code`. Or copy the skill folder (skills/kb-web-severity-scoring in Community-Access/accessibility-agents) into .claude/skills/kb-web-severity-scoring in your project. Claude Code loads it when a task matches its description.
How do I install Kb Web Severity Scoring in Codex?
Run `npx skills add Community-Access/accessibility-agents --skill kb-web-severity-scoring -a codex`. Or copy the skill folder (skills/kb-web-severity-scoring in Community-Access/accessibility-agents) into .agents/skills/kb-web-severity-scoring in your project. Codex loads it when a task matches its description.
Can I use Kb Web Severity Scoring in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Community-Access/accessibility-agents --skill kb-web-severity-scoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kb-web-severity-scoring, .gemini/skills/kb-web-severity-scoring, .github/skills/kb-web-severity-scoring and .opencode/skills/kb-web-severity-scoring in your project.
What does Kb Web Severity Scoring need to run?
SKILL.md names no scripts, command-line tools or credentials: Kb Web Severity Scoring is instructions for the agent only.
Does Kb Web Severity Scoring access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Kb Web Severity Scoring safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Kb Web Severity Scoring use?
Kb Web Severity Scoring is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Kb Web Severity Scoring use?
About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Kb Web Severity Scoring?
Skills that share tags, products or a category with Kb Web Severity Scoring: Web Interface Guidelines Reviewer (vercel-labs/openreview, 1.7k stars), Accessibility Review (markmead/hyperui, 12k stars), Web Animation Design (baptisteArno/typebot.io, 11k stars) and Accessibility Fixer (ibelick/ui-skills, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Kb Web Severity Scoring?
Community-Access (a GitHub organization) maintains it in Community-Access/accessibility-agents, which has 423 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on September 23, 2026.
Source: Community-Access/accessibility-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.