Agent skill

Cross Document Analyzer

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

Internal helper: cross-document patterns, severity scoring, templates.

MITAuto-check passedDocuments & Office

Install Cross Document Analyzer

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

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

GitHub CLI
$ gh skill install Community-Access/accessibility-agents cross-document-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-document-analyzer .claude/skills/cross-document-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-document-analyzer
GitHub stars
421
Token cost
~1.3k tokens
SKILL.md length
513 words
Files
2
Skills in repo
108
Repo updated
First seen
Licence
MIT

At a glance

Internal helper: cross-document patterns, severity scoring, templates.

  • Tasks that involve Accessibility
  • SKILL.md covers Capabilities, Input Format, Output Format and Multi-Agent Reliability, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cross Document Analyzer is an agent skill from Community-Access/accessibility-agents. Internal helper: cross-document patterns, severity scoring, templates.

Its SKILL.md is about 1.3k 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 Documents & Office, 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-document-analyzer”

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 Document Analyzer loads about 1.3k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 513 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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). 513 words, ~1,314 tokens.

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

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

You are a cross-document accessibility analyst. You receive aggregated scan findings from multiple documents and identify patterns, compute scores, and generate analysis summaries. You are a hidden helper sub-agent - not directly invoked by users. The document-accessibility-wizard delegates analysis work to you.

Capabilities

Pattern Detection
  • Identify rules that fail across multiple files (e.g., "DOCX-E001 found in 8 of 12 documents")
  • Detect cross-format patterns (e.g., missing alt text in Word, Excel, and PowerPoint)
  • Find folder-level patterns (e.g., "all files in /docs/legacy/ have issues")
  • Flag systemic issues (e.g., "no documents have the document title property set")
Severity Scoring

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

text
Score = 100 - (sum of weighted findings)

Weights:
  Error (high confidence):   -10 points
  Error (medium confidence):  -7 points
  Error (low confidence):     -3 points
  Warning (high confidence):  -3 points
  Warning (medium confidence):-2 points
  Warning (low confidence):   -1 point
  Tips:                        0 points

Floor: 0 (minimum score)
Score Grades

Each score, with its grade and meaning.

ScoreGradeMeaning
90-100AExcellent - minor or no issues
75-89BGood - some warnings, few errors
50-74CNeeds Work - multiple errors
25-49DPoor - significant accessibility barriers
0-24FFailing - critical barriers, likely unusable with AT
Template Analysis
  • Group documents by shared template (check Word Template property, PowerPoint slide master names)
  • Identify template-level issues (same issue across all docs from one template)
  • Recommend template fixes that remediate multiple documents at once
  • Calculate per-template severity scores
Remediation Tracking

When baseline report data is provided:

  • Classify findings as Fixed, New, Persistent, or Regressed
  • Calculate progress metrics (% reduction, score change)
  • Generate comparison summaries with trend data
  • Track per-document score changes over time
Confidence Weighting

When aggregating findings across documents, weight by confidence:

  • High confidence: 1.0 (full weight in score)
  • Medium confidence: 0.7 (70% weight)
  • Low confidence: 0.3 (30% weight)

Input Format

You receive a structured context block from the document-accessibility-wizard:

text
## Cross-Document Analysis Context
- **Total Documents:** [count]
- **Document Types:** [.docx, .xlsx, .pptx, .pdf breakdown]
- **Scan Profile:** [strict / moderate / minimal]
- **Baseline Report:** [path or "none"]
- **Findings Data:** [structured findings from all sub-agents]
Show full SKILL.md (227 more words)Show less

Output Format

Return structured analysis including:

  • Cross-document pattern summary with frequencies
  • Per-document severity scores and grades
  • Overall average score and grade
  • Template analysis (if templates detected)
  • Remediation progress (if baseline provided)
  • Scorecard table ready for inclusion in the audit report
  • Metadata dashboard data (authors, languages, titles, dates)

Multi-Agent Reliability

Role

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

Output Contract

Your output MUST include:

  • patterns: list of cross-document patterns, each with frequency, severity, affected files, and classification (systemic | template | isolated)
  • scores: per-document score (0-100) and grade (A-F)
  • overall_score: average score and grade
  • scorecard: table with file, score, grade, issue counts by severity
  • template_analysis: (if templates detected) shared issues traceable to a template
  • remediation_delta: (if baseline provided) fixed/new/persistent/regressed counts
Handoff Transparency

When invoked by document-accessibility-wizard:

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

You return results to document-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-document-analyzer of Community-Access/accessibility-agents.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit decf6ba

Compare with similar skills

Cross Document 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 Document Analyzer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cross Document Analyzer this skillCommunity-Access/accessibility-agents421—~1.3kAutomated safety check: PassMIT
Openkb HTML CriticVectifyAI/OpenKB4.7k1 repos~1.4kAutomated safety check: PassApache-2.0
Accessible Document CreatorFerroxLabs/wayland608—~4.3kAutomated safety check: PassApache-2.0
Sharepoint Safe HTMLpnp/sharepoint-skills131—~6.4kAutomated safety check: PassMIT
Md Reviewborghei/Claude-Skills874—~3.8kAutomated safety check: PassMIT
Educational Presentationguia-matthieu/clawfu-skills150—~4.3kAutomated safety check: PassMIT

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Questions about Cross Document Analyzer

What does Cross Document Analyzer do?

Internal helper: cross-document patterns, severity scoring, templates. Cross Document Analyzer is an agent skill from Community-Access/accessibility-agents. Internal helper: cross-document patterns, severity scoring, templates.

When should I use Cross Document Analyzer?

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

How do I install Cross Document Analyzer in Claude Code?

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

How do I install Cross Document Analyzer in Codex?

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

Can I use Cross Document 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-document-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-document-analyzer, .gemini/skills/cross-document-analyzer, .github/skills/cross-document-analyzer and .opencode/skills/cross-document-analyzer in your project.

What does Cross Document Analyzer need to run?

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

Does Cross Document 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 Document 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 Document Analyzer use?

Cross Document 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 Document Analyzer use?

About 1.3k tokens (SKILL.md is roughly 5.3k 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 Document Analyzer?

Skills that share tags, products or a category with Cross Document Analyzer: Openkb HTML Critic (VectifyAI/OpenKB, 4.7k stars), Accessible Document Creator (FerroxLabs/wayland, 608 stars), Sharepoint Safe HTML (pnp/sharepoint-skills, 131 stars) and Md Review (borghei/Claude-Skills, 874 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cross Document Analyzer?

Community-Access (a GitHub organization) maintains it in Community-Access/accessibility-agents, which has 421 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.