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.
git clone --depth 1 https://github.com/smicolon/ai-kitWrote 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/commands/smicolon/ai-kit/review-a11y)<a href="https://agentmods.dev/commands/smicolon/ai-kit/review-a11y"><img src="https://agentmods.dev/badge/commands/smicolon/ai-kit/review-a11y.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 5.1 | $0.00044 | $0.01370 |
| Opus 5 | $0.00022 | $0.00685 |
| Sonnet 5 | $0.00009 | $0.00274 |
| Haiku 4.5 | $0.00004 | $0.00137 |
Grade A, and why
review-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 5d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are reviewing the current branch for accessibility (a11y) and responsive behavior ONLY. Ignore architecture and visual polish unless they directly cause an a11y or responsiveness issue.
Step 0 — Interpret the scope
User argument: $ARGUMENTS
Classify into one of four modes. The first two lines of your output MUST be:
Mode: <whole-branch | path: <p> | feature: <name> | base: <branch>>
Reviewed N files in scope. Found X P0, Y P1, Z P2 findings.
- Mode A — Whole branch (empty): Review everything changed vs
main. - Mode B — Path scope (contains
/or a known extension, or matchesgit ls-files $ARGUMENTS): Review only changes inside that path. - Mode C — Feature scope (single bareword): Find files related via
git ls-files | grep -i <feature>, intersect with branch diff. - Mode D — Base branch (matches a real branch): Review against that base instead of
main.
Ambiguous → prefer branch if git branch -a confirms.
Step 1 — Scope the diff
Based on the mode:
- A:
git diff main...HEAD --stat - B:
git diff main...HEAD --stat -- <path> - C: Compute the file list from the feature match, diff each relevant file.
- D:
git diff <base>...HEAD --stat
Also check for changes to global styles, layout primitives, or anything affecting breakpoints.
Step 2 — Evaluate each changed component
Accessibility
- Semantic HTML — correct element used (
buttonvsdiv,nav,main,section, proper heading levels)? - ARIA — used only when semantics are insufficient, and used correctly?
- Keyboard navigation
- All interactive elements reachable by Tab?
- Focus order logical?
- Focus visible (no
outline: nonewithout replacement)? - Escape closes modals/popovers, Enter/Space activates buttons?
- Focus management — trapped in modals, restored on close, moved on route change (React Router / Next.js navigation)?
- Labels — every input programmatically labeled (
htmlFor+id), not just placeholder? - Color contrast — WCAG AA (4.5:1 body, 3:1 large text)?
- Motion — respects
prefers-reduced-motion? - Images —
alttext meaningful, or empty for decorative? Next.js<Image>hasalt? - Dynamic content — live regions (
aria-live) for async updates where appropriate? - Icon-only buttons — have accessible names (
aria-labelor visually-hidden text)?
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.
- 5d ago First seen · 108 lines · 44 tokens per session scan A 10a87c62e3be
review-a11y is a command published in the GitHub repository smicolon/ai-kit (6 stars, last pushed 5d ago), licensed MIT. It adds 44 tokens to every session and 1,370 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 2026-09-03.
Other commands, from other repositories
design-qa
Agent-driven design QA — walk the running app, judge design/UX, and drop a Comment-Mode comment on every issue (visible to the human as pins). Then read the session back and fix everything in bulk. Optional focus argument steers the pass.
designer
UI/UX design with Memory coordination for consistent experiences.
sddesign
Full spec-driven pipeline — walks brief → tokens → shape (spec) → craft (build) → converge → ship in one guided run. Writes .ui-craft/spec.md. Run when starting a net-new surface from scratch.
craft
One-shot build pipeline for a complete surface from an outcome recipe — inputs (or defaults) → composition → theme → build order → acceptance bar. Use when the user asks for a whole surface ("build me a dashboard", "I need a landing page") and expects a shippable result, not component-level help.
responsive-design-specialist
Use when a layout breaks between sizes. Arbitrary breakpoints, type that does not scale, images that blow out the grid, or a desktop design retrofitted onto mobile.
spec-screenshot
Analyze website screenshots and generate detailed implementation specs.