cross-document-analyzer

cross-document-analyzer is a skill for Claude Code, Codex, Gemini CLI from Community-Access/accessibility-agents. It costs 49 tokens per session (1,044 once invoked), scanned A, original, MIT.

An internal analysis tool for comparing accessibility findings across multiple documents. Accessibility means making files usable by people with disabilities.

In plain words
What is it for?
It groups recurring and systemic issues, calculates weighted document risk scores, analyzes templates and formats, and tracks remediation through scorecards.
Why use it?
It reveals problems repeated across files, formats, or folders so teams can address shared causes instead of reviewing every document in isolation.

Skill for Claude CodeCodexGemini CLI

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/community-access/accessibility-agents/cross-document-analyzer
Any agent
npx skills add Community-Access/accessibility-agents --skill cross-document-analyzer
Clone the repo
git clone --depth 1 https://github.com/Community-Access/accessibility-agents

Made for: Claude Code, Codex, Gemini CLI.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for cross-document-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/community-access/accessibility-agents/cross-document-analyzer.svg)](https://agentmods.dev/skills/community-access/accessibility-agents/cross-document-analyzer)
Your own site
<a href="https://agentmods.dev/skills/community-access/accessibility-agents/cross-document-analyzer"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/cross-document-analyzer.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,044 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00049 $0.01044
Opus 5 $0.00024 $0.00522
Sonnet 5 $0.00010 $0.00209
Haiku 4.5 $0.00005 $0.00104

Measured 4d ago against content hash 1b5d1c3419e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cross-document-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.gemini/extensions/a11y-agents/skills/cross-document-analyzer/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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:

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

Score Grade Meaning
90-100 A Excellent - minor or no issues
75-89 B Good - some warnings, few errors
50-74 C Needs Work - multiple errors
25-49 D Poor - significant accessibility barriers
0-24 F Failing - 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

Read the full file on GitHub · 116 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 116 lines · 49 tokens per session scan A 1b5d1c3419e3

Subscribe to this mod's changes

cross-document-analyzer is a skill published in the GitHub repository Community-Access/accessibility-agents (405 stars, last pushed 23d ago), licensed MIT. It adds 49 tokens to every session and 1,044 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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