Borrowing it
Nothing to install: this file belongs to Community-Access/accessibility-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Community-Access/accessibility-agents/main/.gemini/extensions/a11y-agents/skills/report-generation/SKILL.mdgit 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/report-generation)<a href="https://agentmods.dev/skills/community-access/accessibility-agents/report-generation"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/report-generation.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
- medium Agent Snooping · line 5 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 5.1 | $0.00062 | $0.00907 |
| Opus 5 | $0.00031 | $0.00453 |
| Sonnet 5 | $0.00012 | $0.00181 |
| Haiku 4.5 | $0.00006 | $0.00091 |
Grade A, and why
report-generation 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Report Generation
Report File
Default output: DOCUMENT-ACCESSIBILITY-AUDIT.md in the project root.
Required Sections
Every audit report MUST include these sections:
- Audit Information - date, auditor, profile, scope, counts
- Executive Summary - totals, pass rate, most common issue, effort estimate
- Cross-Document Patterns - recurring issues, systemic failures
- Findings by File - per-document issues with rule ID, severity, location, WCAG, impact, remediation
- Findings by Rule (Cross-Reference) - rule-level aggregation across files
- What Passed - acknowledge clean documents and categories
- Remediation Priority - ordered by impact (Immediate / Soon / When Possible)
- Accessibility Scorecard - per-document scores and grades
- Metadata Dashboard - document properties health
- Confidence Summary - breakdown by confidence level
Optional Sections (include when applicable)
- Template Analysis - when batch scanning detects shared templates
- Comparison Report - when re-scanning against a baseline
- CI/CD Recommendations - when no config files exist
Severity Scoring Formula
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 |
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 · 103 lines · 62 tokens per session scan A 07d818d7a350
report-generation is a skill published in the GitHub repository Community-Access/accessibility-agents (405 stars, last pushed 26d ago), licensed MIT. It adds 62 tokens to every session and 907 once invoked, about $0.0003 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 2026-09-03.
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