Agent skill

Kb Lighthouse Scanner

by Community-Access in Community-Access/accessibility-agents

Reference data, not a reviewer. An agent skill from Community-Access/accessibility-agents.

MITAuto-check passedFrontend & Design

Install Kb Lighthouse Scanner

skills CLI
$ npx skills add Community-Access/accessibility-agents --skill kb-lighthouse-scanner -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Community-Access/accessibility-agents kb-lighthouse-scanner --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Community-Access/accessibility-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kb-lighthouse-scanner .claude/skills/kb-lighthouse-scanner && rm -rf skills-src

Use ~/.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/

Facts

Skill name
kb-lighthouse-scanner
GitHub stars
422
Token cost
~2.1k tokens
SKILL.md length
687 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.

  • Works in 3 steps: Match by audit/rule ID: Lighthouse audit… → Match by URL: Compare scanned URLs from… → Boost confidence: Findings confirmed by…
  • Tasks that involve Web performance
  • SKILL.md covers Lighthouse CI Accessibility…, What Is Lighthouse CI?, Detecting Lighthouse CI Presence and Parsing Lighthouse…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Kb Lighthouse Scanner is an agent skill from Community-Access/accessibility-agents. Reference data, not a reviewer. Integrate Lighthouse CI accessibility audits. Detects configuration, parses results, maps findings to severity model, and tracks score regressions.

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 Web performance and 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 Web performance
  • Tasks that involve Accessibility

Example prompts

  • “/kb-lighthouse-scanner”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Match by audit/rule ID: Lighthouse audit IDs correspond directly to axe-core rule IDs
  2. Match by URL: Compare scanned URLs from Lighthouse config with local scan targets
  3. Boost confidence: Findings confirmed by both Lighthouse CI and local axe-core scan receive high confidence

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 json, bash and yaml).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    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 Lighthouse Scanner loads about 2.1k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 687 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

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). 687 words, ~2,086 tokens.

Download SKILL.mdSave it as .claude/skills/kb-lighthouse-scanner/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
kb-lighthouse-scanner
description
Reference data, not a reviewer. Integrate Lighthouse CI accessibility audits. Detects configuration, parses results, maps findings to severity model, and tracks score regressions.
license
MIT
disable-model-invocation
true
user-invocable
false
metadata.tier
reference
metadata.domain
cross-cutting
metadata.output
none
metadata.effort
low
metadata.title
Lighthouse Scanner

Lighthouse CI Accessibility Integration

What Is Lighthouse CI?

Lighthouse CI is a suite of tools for running Google Lighthouse audits in CI pipelines. The most common GitHub Actions integration uses treosh/lighthouse-ci-action.

Lighthouse provides:

  • Performance, accessibility, best practices, and SEO scoring (0-100)
  • Individual audit results with pass/fail status and detailed findings
  • Score budgets and assertions to fail builds on regressions
  • HTML and JSON report artifacts
  • Score comparison across runs for trend tracking

Accessibility focus: The Lighthouse accessibility category runs a subset of axe-core rules and reports a weighted score from 0-100 along with individual audit violations.

Detecting Lighthouse CI Presence

Workflow File Detection

Search for workflow files referencing Lighthouse CI:

bash
# Search for the treosh Lighthouse CI action
grep -rl "treosh/lighthouse-ci-action" .github/workflows/

# Search for official Lighthouse CI CLI usage
grep -rl "lhci autorun\|lighthouse-ci" .github/workflows/

Patterns to match in YAML:

yaml
- uses: treosh/lighthouse-ci-action@v12
Configuration File Detection

Lighthouse CI uses configuration files in the repository root:

bash
# Check for Lighthouse CI config files
ls lighthouserc.js lighthouserc.json .lighthouserc.js .lighthouserc.json .lighthouserc.yml 2>/dev/null
Config FileFormat
lighthouserc.jsJavaScript module
lighthouserc.jsonJSON
.lighthouserc.jsJavaScript module (dotfile)
.lighthouserc.jsonJSON (dotfile)
.lighthouserc.ymlYAML (dotfile)
Configuration Structure

Key fields in Lighthouse CI config:

json
{
  "ci": {
    "collect": {
      "url": ["https://example.com", "https://example.com/about"],
      "numberOfRuns": 3
    },
    "assert": {
      "assertions": {
        "categories:accessibility": ["error", {"minScore": 0.9}]
      }
    },
    "upload": {
      "target": "temporary-public-storage"
    }
  }
}
SectionPurposeAgent Use
ci.collect.urlURLs to auditScope of CI scanning
ci.collect.numberOfRunsHow many times to run each URLReliability indicator
ci.assert.assertionsScore budgets and thresholdsRegression detection
ci.upload.targetWhere to store reportsReport retrieval

Parsing Lighthouse Accessibility Results

Accessibility Score

Lighthouse computes a weighted accessibility score from 0-100 based on individual audit results.

Score RangeGradeInterpretation
90-100AGood accessibility
70-89B-CSome issues to address
50-69DSignificant issues
0-49FCritical accessibility failures
Individual Audit Results

Each Lighthouse accessibility audit corresponds to an axe-core rule:

Audit IDaxe-core RuleWCAG CriterionWeight
image-altimage-alt1.1.110
color-contrastcolor-contrast1.4.37
labellabel1.3.17
button-namebutton-name4.1.27
link-namelink-name2.4.47
html-has-langhtml-has-lang3.1.17
document-titledocument-title2.4.27
heading-orderheading-order1.3.13
meta-viewportmeta-viewport1.4.410
bypassbypass2.4.17
tabindextabindex2.4.37
aria-allowed-attraria-allowed-attr4.1.210
aria-hidden-bodyaria-hidden-body4.1.210
aria-required-attraria-required-attr4.1.210
aria-rolesaria-roles4.1.27
aria-valid-attr-valuearia-valid-attr-value4.1.27
aria-valid-attraria-valid-attr4.1.210
Severity Mapping

Lighthouse uses weights rather than impact levels. Map to the agent severity model based on weight and audit pass/fail:

Lighthouse WeightAudit StatusAgent Severity
10FailCritical
7FailSerious
3FailModerate
1FailMinor
AnyPassN/A (not reported)

Correlation with Local Scans

Lighthouse-to-axe-core Mapping

Since Lighthouse uses axe-core under the hood, correlation is straightforward:

  1. Match by audit/rule ID: Lighthouse audit IDs correspond directly to axe-core rule IDs
  2. Match by URL: Compare scanned URLs from Lighthouse config with local scan targets
  3. Boost confidence: Findings confirmed by both Lighthouse CI and local axe-core scan receive high confidence
Show full SKILL.md (266 more words)Show less
Source Comparison

Each scenario, with its interpretation and action.

ScenarioInterpretationAction
Found by Lighthouse AND local scanHigh confidenceReport as high confidence, full severity weight
Found by Lighthouse onlyEnvironment-specificReport as medium confidence, note "CI-only finding"
Found by local scan onlyNot covered by Lighthouse subsetReport as medium confidence, note "local-only finding"
Lighthouse score regressedNew accessibility issues introducedFlag as regression, prioritize in report

Score Regression Detection

Track Lighthouse accessibility scores across runs to detect regressions:

Comparing Scores
json
{
  "url": "https://example.com",
  "previousScore": 95,
  "currentScore": 87,
  "delta": -8,
  "status": "regressed",
  "newFailures": ["color-contrast", "image-alt"],
  "newPasses": []
}
Regression Thresholds

Each delta, with its severity and action.

DeltaSeverityAction
Score drops 10+ pointsCriticalImmediate attention, likely multiple new violations
Score drops 5-9 pointsSeriousNew violations introduced, review before merge
Score drops 1-4 pointsModerateMinor regression, track for follow-up
Score unchanged or improvedN/ANo regression detected

Structured Output Format

When lighthouse-bridge normalizes Lighthouse data, it produces findings in this format:

json
{
  "source": "lighthouse-ci",
  "ruleId": "color-contrast",
  "wcagCriterion": "1.4.3",
  "wcagLevel": "AA",
  "severity": "serious",
  "confidence": "high",
  "url": "https://example.com/login",
  "element": "button.submit-btn",
  "description": "Element has insufficient color contrast ratio",
  "lighthouseWeight": 7,
  "lighthouseScore": {
    "overall": 87,
    "previousOverall": 95,
    "delta": -8,
    "status": "regressed"
  }
}

GitHub Actions Integration

treosh/lighthouse-ci-action

The most common Lighthouse CI GitHub Action:

yaml
- name: Run Lighthouse CI
  uses: treosh/lighthouse-ci-action@v12
  with:
    urls: |
      https://example.com
      https://example.com/about
    uploadArtifacts: true
    configPath: ./lighthouserc.json
Action Inputs

Each input, with its required and description.

InputRequiredDescription
urlsYes (or in config)Newline-separated URLs to audit
configPathNoPath to Lighthouse CI config file
uploadArtifactsNoUpload HTML reports as workflow artifacts
temporaryPublicStorageNoUpload to temporary public storage for sharing
runsNoNumber of runs per URL (default: 1)
budgetPathNoPath to a Lighthouse budget JSON file
Extracting Results from Artifacts

Lighthouse CI uploads results as workflow artifacts. To retrieve scores:

  1. Download the artifact from the workflow run
  2. Parse the JSON report files
  3. Extract categories.accessibility.score for the overall score
  4. Extract individual audits.{audit-id} results for violations

© 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-lighthouse-scanner of Community-Access/accessibility-agents.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit decf6ba

Compare with similar skills

Kb Lighthouse Scanner 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.

Kb Lighthouse Scanner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Kb Lighthouse Scanner this skillCommunity-Access/accessibility-agents422—~2.1kAutomated safety check: PassMIT
Web Quality Auditaddyosmani/web-quality-skills2.9k—~2.6kAutomated safety check: PassMIT
Web Quality Auditmidudev/100cosas.dev1143 repos~1.7kAutomated safety check: PassMIT
Optimize Loadtextura-agency/next16-claude-starter132—~4.6kAutomated safety check: NotesUnlicense
Accessibilityericrisco/rsc-harness167—~3.4kAutomated safety check: PassMIT
Accessibility Checkmakifbaysal/tasktrooper109—~1.1kAutomated safety check: PassApache-2.0

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Questions about Kb Lighthouse Scanner

What does Kb Lighthouse Scanner do?

Reference data, not a reviewer. An agent skill from Community-Access/accessibility-agents. Kb Lighthouse Scanner is an agent skill from Community-Access/accessibility-agents. Reference data, not a reviewer.

When should I use Kb Lighthouse Scanner?

Kb Lighthouse Scanner fits situations like: tasks that involve Web performance; tasks that involve Accessibility.

How do I install Kb Lighthouse Scanner in Claude Code?

Run `npx skills add Community-Access/accessibility-agents --skill kb-lighthouse-scanner -a claude-code`. Or copy the skill folder (skills/kb-lighthouse-scanner in Community-Access/accessibility-agents) into .claude/skills/kb-lighthouse-scanner in your project. Claude Code loads it when a task matches its description.

How do I install Kb Lighthouse Scanner in Codex?

Run `npx skills add Community-Access/accessibility-agents --skill kb-lighthouse-scanner -a codex`. Or copy the skill folder (skills/kb-lighthouse-scanner in Community-Access/accessibility-agents) into .agents/skills/kb-lighthouse-scanner in your project. Codex loads it when a task matches its description.

Can I use Kb Lighthouse Scanner 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-lighthouse-scanner -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-lighthouse-scanner, .gemini/skills/kb-lighthouse-scanner, .github/skills/kb-lighthouse-scanner and .opencode/skills/kb-lighthouse-scanner in your project.

What does Kb Lighthouse Scanner need to run?

SKILL.md names no scripts, command-line tools or credentials: Kb Lighthouse Scanner is instructions for the agent only.

Does Kb Lighthouse Scanner access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Kb Lighthouse Scanner 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 Lighthouse Scanner use?

Kb Lighthouse Scanner 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 Lighthouse Scanner use?

About 2.1k tokens (SKILL.md is roughly 8.3k 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 Lighthouse Scanner?

Skills that share tags, products or a category with Kb Lighthouse Scanner: Web Quality Audit (addyosmani/web-quality-skills, 2.9k stars), Web Quality Audit (midudev/100cosas.dev, 114 stars), Optimize Load (textura-agency/next16-claude-starter, 132 stars) and Accessibility (ericrisco/rsc-harness, 167 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kb Lighthouse Scanner?

Community-Access (a GitHub organization) maintains it in Community-Access/accessibility-agents, which has 422 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.