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.
npx agentmods add skills/community-access/accessibility-agents/cross-document-analyzernpx skills add Community-Access/accessibility-agents --skill cross-document-analyzergit clone --depth 1 https://github.com/Community-Access/accessibility-agentsWrote 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.
[](https://agentmods.dev/skills/community-access/accessibility-agents/cross-document-analyzer)<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>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.
| Model | Per session | Once 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 |
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.
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
Templateproperty, 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
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.
- 4d ago First seen · 116 lines · 49 tokens per session scan A 1b5d1c3419e3
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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