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 masuP9/a11y-specialist-skills --skill reviewing-a11ygit clone --depth 1 https://github.com/masuP9/a11y-specialist-skillsWrote 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/masup9/a11y-specialist-skills/reviewing-a11y)<a href="https://agentmods.dev/skills/masup9/a11y-specialist-skills/reviewing-a11y"><img src="https://agentmods.dev/badge/skills/masup9/a11y-specialist-skills/reviewing-a11y/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/masup9/a11y-specialist-skills/reviewing-a11y"><img src="https://agentmods.dev/badge/skills/masup9/a11y-specialist-skills/reviewing-a11y.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 | $0.00046 | $0.01240 |
| Opus 5 | $0.00023 | $0.00620 |
| Sonnet 5 | $0.00009 | $0.00248 |
| Haiku 4.5 | $0.00005 | $0.00124 |
Grade A, and why
reviewing-a11y 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 12d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accessibility Review
Identify what the user wants reviewed, then perform the accessibility review by following the corresponding reference guide.
Step 1: Identify Review Target
Analyze the user's request to determine the review target:
Web Page (Live URL)
Indicators:
- User provides a URL starting with
http://orhttps:// - User says "check this page", "review this site", "test this URL"
- User wants to review a deployed/live website
Action: Follow the page review guide
Code Implementation
Indicators:
- User provides file paths (
.jsx,.tsx,.vue,.html,.js, etc.) - User says "review this component", "check my code", "look at this implementation"
- User mentions specific files or directories in the codebase
- User asks about static code analysis
Action: Follow the code review guide
Design Mockup/Specification
Indicators:
- User provides Figma URL (figma.com/file/...)
- User shares image files (.png, .jpg, .pdf of designs)
- User says "review this design", "check this mockup", "look at this wireframe"
- User asks about design specifications or visual accessibility
Action: Follow the design review guide
Ambiguous Cases
If unclear, ask the user:
I can review accessibility for:
1. **Live web pages** (provide URL) - I'll test the rendered page
2. **Code implementation** (provide file paths) - I'll analyze the source code
3. **Design mockups** (provide Figma URL or images) - I'll review visual designs
Which would you like me to review?
Step 2: Load the Guide and Review
Once you identify the target, read the reference guide matching the user's language and execute its process directly.
For Web Pages
Read the page review guide:
- English: references/page-review.md
- Japanese: references/page-review.ja.md
Follow the guide using available browser interaction, web retrieval, or user-provided content.
For Code
Read the code review guide:
- English: references/code-review.md
- Japanese: references/code-review.ja.md
Follow the guide by inspecting the target files and related implementation.
What ships with it
12 files 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.
- agents/openai.yaml 259 B
- README.ja.md 7.4 KB
- README.md 6.0 KB
- references/code-review.ja.md 6.9 KB
- references/code-review.md 5.1 KB
- references/design-review.ja.md 8.2 KB
- references/design-review.md 6.0 KB
- references/page-review.ja.md 6.8 KB
- references/page-review.md 5.5 KB
- references/wcag-checklist.ja.md 6.4 KB
- references/wcag-checklist.md 4.8 KB
- SKILL.ja.md 6.6 KB
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.
- 12d ago First seen · 155 lines · 46 tokens per session scan A 6758da866302
reviewing-a11y is a skill published in the GitHub repository masuP9/a11y-specialist-skills (56 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 1,240 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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