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 int2t05/engineering-skills --skill a11y-reviewgit clone --depth 1 https://github.com/int2t05/engineering-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/int2t05/engineering-skills/a11y-review)<a href="https://agentmods.dev/skills/int2t05/engineering-skills/a11y-review"><img src="https://agentmods.dev/badge/skills/int2t05/engineering-skills/a11y-review/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/int2t05/engineering-skills/a11y-review"><img src="https://agentmods.dev/badge/skills/int2t05/engineering-skills/a11y-review.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 | $0.00025 | $0.00300 |
| Opus 5.5 | $0.00010 | $0.00120 |
| Sonnet 5.5 | $0.00005 | $0.00060 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
a11y-review 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 10d 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.
What it actually says
Accessibility Review
When to use
- Audit accessibility with automated and manual evidence.
Not for: frontend-design for redesign; e2e-testing for general journeys.
Steps
-
Agree target and flows; consult current authoritative criteria rather than a frozen subset.
-
Run applicable tools and manual keyboard, focus, semantic, contrast and error checks.
-
Exercise assistive technology when available and disclose unavailable coverage; automation does not establish full conformance.
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Document reproduction, impact and remedies at the approved path, retest fixes and leave acceptance to the human.
Output: Suggested paths, subject to human audit: docs/a11y-report.md when durable findings are requested.
Verify
- Findings identify real controls and criteria; automated, manual and unavailable checks are distinguished.
References
- engineering-principles.md — shared decision boundaries, scope and verification.
- human-audit.md — document consent, readability and human review.
- references/wcag-checklist.md — WCAG 2.2 AA criterion-by-criterion checklist mapped to axe-core rules, with the manual checks automated tools miss
What ships with it
2 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.
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.
- 10d ago Changed · -40 lines · -62 tokens per session 40cf29493402
- 17d ago Changed · +1 lines 87587d3a7d66
- 1mo ago First seen · 74 lines · 87 tokens per session scan A 09e7990f12fa
a11y-review is a skill published in the GitHub repository int2t05/engineering-skills (3 stars, last pushed 11d ago), licensed MIT. It adds 25 tokens to every session and 300 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
review-all
Multi-agent code review for diffs (project-agnostic). Covers standards, bugs, security, DRY, smells, perf, tests, API contracts, a11y/i18n. Verifies each finding to eliminate false positives. Use for /review-all, pre-PR/pre-commit review, or auditing uncommitted/staged changes.
design-reviewer
Use after AC and before RED for any wave that ships UI. Performs component API audit against installed dist files, produces per-route mockup, defines visual ACs, flags design-system gaps. Output written to .wave/dr.md.
Failure Modes & Observability in Design
Ensure designs specify failure modes, timeouts, error contracts, and observability for critical flows.
sonarqube
Levantar SonarQube con Docker, analizar el código y proponer mejoras. También: análisis estático, deuda técnica, code smells, cobertura, calidad automatizada.
nw-fp-usable-design
Naming conventions, API ergonomics, and usability patterns for functional code.
anti-patterns
Catalogue of known SDLC anti-patterns that greatcto agents must actively reject when reviewing architecture, plans, code, or post-mortems. Used by architect (pre-impl), pm (planning), senior-dev (impl), l3-support (post-incident).