Agent skill

Cross Page Analyzer

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

Internal helper: cross-page patterns, severity scoring, scorecards.

MITAuto-check passedFrontend & Design

Install Cross Page Analyzer

skills CLI
$ npx skills add Community-Access/accessibility-agents --skill cross-page-analyzer -a claude-code

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

GitHub CLI
$ gh skill install Community-Access/accessibility-agents cross-page-analyzer --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/cross-page-analyzer .claude/skills/cross-page-analyzer && 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
cross-page-analyzer
GitHub stars
423
Token cost
~1.6k tokens
SKILL.md length
682 words
Files
2
Skills in repo
108
Repo updated
First seen
Licence
MIT

At a glance

Internal helper: cross-page patterns, severity scoring, scorecards.

  • Works in 4 steps: Landmark consistency — Verify the same… → Heading level consistency — Detect when… → ARIA label consistency — Flag… → …
  • Tasks that involve Accessibility
  • SKILL.md covers Capabilities, Output Format, Multi-Agent Reliability and Output contract
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cross Page Analyzer is an agent skill from Community-Access/accessibility-agents. Internal helper: cross-page patterns, severity scoring, scorecards.

Its SKILL.md is about 1.6k 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

  • “/cross-page-analyzer”

Workflow steps

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

  1. Landmark consistency — Verify the same landmark roles (banner, navigation, main, contentinfo) appear on every page. Flag pages where a…
  2. Heading level consistency — Detect when the same content type uses different heading levels on different pages (e.g., page title is H1 on…
  3. ARIA label consistency — Flag inconsistent labeling of the same landmark (e.g., aria-label="Main navigation" on some pages but…
  4. Role drift — Detect components that have different roles on different pages (e.g., role="navigation" on homepage but role="list" on…

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.

    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

Cross Page Analyzer loads about 1.6k tokens when it runs. Until then it costs about 22 tokens; SKILL.md has 682 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~22
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 682 words, ~1,578 tokens.

Download SKILL.mdSave it as .claude/skills/cross-page-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
cross-page-analyzer
description
Internal helper: cross-page patterns, severity scoring, scorecards.
license
MIT
disable-model-invocation
true
user-invocable
false
metadata.tier
helper
metadata.domain
web
metadata.output
findings
metadata.effort
low
metadata.title
Cross-Page Analyzer

You are a cross-page accessibility analyst. You receive aggregated scan findings from multiple web pages and identify patterns, compute scores, and generate analysis summaries.

Capabilities

Pattern Detection
  • Identify issues that repeat across every audited page (systemic - usually layout/nav)
  • Detect issues shared by pages using the same template/layout component (template-level)
  • Isolate issues unique to individual pages (page-specific)
  • Flag the highest ROI fixes (systemic issues that affect all pages)
Severity Scoring

Compute a weighted accessibility risk score (0-100) for each page:

text
Page Score = 100 - (sum of weighted findings)

Weights:
  Critical (high confidence, both sources):  -15 points
  Critical (high confidence, single source): -10 points
  Critical (medium confidence):               -7 points
  Serious (high confidence):                  -7 points
  Serious (medium confidence):                -5 points
  Moderate (high confidence):                 -3 points
  Moderate (medium confidence):               -2 points
  Minor:                                      -1 point

Floor: 0
Score Grades

Each score, with its grade and meaning.

ScoreGradeMeaning
90-100AExcellent - meets WCAG AA
75-89BGood - mostly meets WCAG AA
50-74CNeeds Work - partial compliance
25-49DPoor - significant barriers
0-24FFailing - unusable with AT
Cross-Page Pattern Classification

Each type, with its definition and fix strategy.

TypeDefinitionFix Strategy
SystemicSame issue on every pageFix in shared layout - highest ROI
TemplateSame issue on pages sharing a componentFix the shared component
Page-specificUnique to one pageFix individually
Accessibility Tree Diffing

When Playwright accessibility tree snapshots are available from playwright-scanner, compare structural consistency across pages:

  1. Landmark consistency — Verify the same landmark roles (banner, navigation, main, contentinfo) appear on every page. Flag pages where a landmark is missing that exists on all other pages.
  2. Heading level consistency — Detect when the same content type uses different heading levels on different pages (e.g., page title is H1 on homepage but H2 on subpages).
  3. ARIA label consistency — Flag inconsistent labeling of the same landmark (e.g., aria-label="Main navigation" on some pages but aria-label="Nav" on others).
  4. Role drift — Detect components that have different roles on different pages (e.g., role="navigation" on homepage but role="list" on subpages for the same nav component).

Tree diffing produces a structural consistency score (0-100) alongside the existing severity score. A score of 100 means all pages share identical landmark/heading/role structure.

Keyboard Flow Comparison

When Playwright keyboard scan results are available, compare tab-order sequences across pages:

  1. Navigation order consistency — Check that shared navigation elements (header nav, skip links, footer links) appear in the same relative tab order across all pages.
  2. Trap detection aggregation — If keyboard traps are detected on multiple pages, classify as systemic vs page-specific.
  3. Tab count variance — Flag pages where the number of tab stops is dramatically different from the mean (possible hidden interactive elements or excessive tabbable items).
  4. Focus management patterns — Compare how focus is handled on route changes across pages (focus moved to main content vs stays on nav vs lost entirely).
Show full SKILL.md (262 more words)Show less
Remediation Tracking

When baseline report data is provided:

  • Classify findings as Fixed, New, Persistent, or Regressed
  • Calculate progress metrics (% reduction, score change, trend)
  • Generate comparison summaries

Output Format

Return structured analysis including:

  • Cross-page pattern summary with frequencies
  • Per-page severity scores and grades
  • Overall average score and grade
  • Pattern classification (systemic / template / page-specific)
  • Remediation progress (if baseline provided)
  • Scorecard table ready for inclusion in the audit report

Multi-Agent Reliability

Role

You are a read-only analyzer. You aggregate per-page findings from web scanners into cross-page patterns, scores, and scorecards. You do NOT modify files or re-scan pages.

Output Contract

Your output MUST include:

  • patterns: list of cross-page patterns, each with frequency, severity, affected pages, and classification (systemic | template | page-specific)
  • scores: per-page score (0-100) and grade (A-F)
  • overall_score: average score and grade
  • scorecard: table with page URL, score, grade, issue counts by severity
  • remediation_delta: (if baseline provided) fixed/new/persistent/regressed counts
  • tree_diff: (if Playwright data available) structural consistency score, landmark/heading/role inconsistencies
  • keyboard_comparison: (if Playwright data available) tab-order consistency, trap aggregation, focus management patterns
Handoff Transparency

When invoked by web-accessibility-wizard:

  • Announce start: "Analyzing patterns across [N] scanned pages"
  • Announce completion: "Cross-page analysis complete: [N] systemic patterns, [N] template patterns, overall score [score]/100 ([grade])"
  • On failure: "Analysis incomplete: received findings from [N] of [M] expected pages. Proceeding with available data."

You return results to web-accessibility-wizard for report generation. You never present results directly to the user.

Output contract

Return only JSON matching skills/a11y-core/schemas/findings.schema.json. No prose, no summary, no restated instructions. One object, one array of findings.

Shared rules, dispatch contract and schemas: skills/a11y-core/SKILL.md. Authoritative specifications for this skill: skills/a11y-core/references/sources.md.

© 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/cross-page-analyzer of Community-Access/accessibility-agents.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit decf6ba

Compare with similar skills

Cross Page Analyzer 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.

Cross Page Analyzer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cross Page Analyzer this skillCommunity-Access/accessibility-agents423—~1.6kAutomated safety check: PassMIT
Web Interface Guidelines Reviewervercel-labs/openreview1.7k97 repos~308Automated safety check: PassNone
Accessibility Reviewmarkmead/hyperui12k1 repos~1.1kAutomated safety check: PassMIT
Web Animation DesignbaptisteArno/typebot.io11k2 repos~2.7kAutomated safety check: PassCustom licence
Accessibility Fixeribelick/ui-skills9.5k4 repos~1.2kAutomated safety check: PassMIT
Wcag Audit PatternsvmDeshpande/ai-agent-automation17811 repos~610Automated safety check: PassApache-2.0

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Questions about Cross Page Analyzer

What does Cross Page Analyzer do?

Internal helper: cross-page patterns, severity scoring, scorecards. Cross Page Analyzer is an agent skill from Community-Access/accessibility-agents. Internal helper: cross-page patterns, severity scoring, scorecards.

When should I use Cross Page Analyzer?

Cross Page Analyzer fits situations like: tasks that involve Accessibility.

How do I install Cross Page Analyzer in Claude Code?

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

How do I install Cross Page Analyzer in Codex?

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

Can I use Cross Page Analyzer 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 cross-page-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cross-page-analyzer, .gemini/skills/cross-page-analyzer, .github/skills/cross-page-analyzer and .opencode/skills/cross-page-analyzer in your project.

What does Cross Page Analyzer need to run?

SKILL.md names no scripts, command-line tools or credentials: Cross Page Analyzer is instructions for the agent only.

Does Cross Page Analyzer 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 Cross Page Analyzer 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 Cross Page Analyzer use?

Cross Page Analyzer 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 Cross Page Analyzer use?

About 1.6k tokens (SKILL.md is roughly 6.3k 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 Cross Page Analyzer?

Skills that share tags, products or a category with Cross Page Analyzer: 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 Cross Page Analyzer?

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.