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 skills add Community-Access/accessibility-agents --skill kb-report-generationgit 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/kb-report-generation)<a href="https://agentmods.dev/skills/community-access/accessibility-agents/kb-report-generation"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/kb-report-generation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/community-access/accessibility-agents/kb-report-generation"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/kb-report-generation.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00044 | $0.00928 |
| Opus 5.5 | $0.00018 | $0.00371 |
| Sonnet 5.5 | $0.00009 | $0.00186 |
| Haiku 4.5 | $0.00004 | $0.00093 |
Grade A, and why
kb-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 1mo 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 — 117 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
Each score, with its grade and meaning.
| 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 |
Organization Modes
Each mode, with description and best for.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 117 lines · 44 tokens per session scan A 95e3c4699731
kb-report-generation is a skill published in the GitHub repository Community-Access/accessibility-agents (428 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 928 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-23.
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