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 Owl-Listener/inclusive-design-skills --skill accessibility-testing-strategygit clone --depth 1 https://github.com/Owl-Listener/inclusive-design-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/owl-listener/inclusive-design-skills/accessibility-testing-strategy)<a href="https://agentmods.dev/skills/owl-listener/inclusive-design-skills/accessibility-testing-strategy"><img src="https://agentmods.dev/badge/skills/owl-listener/inclusive-design-skills/accessibility-testing-strategy/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/owl-listener/inclusive-design-skills/accessibility-testing-strategy"><img src="https://agentmods.dev/badge/skills/owl-listener/inclusive-design-skills/accessibility-testing-strategy.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 | $0.00087 | $0.00883 |
| Opus 5 | $0.00044 | $0.00441 |
| Sonnet 5 | $0.00017 | $0.00177 |
| Haiku 4.5 | $0.00009 | $0.00088 |
Grade A, and why
accessibility-testing-strategy 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 11d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accessibility Testing Strategy
Plan a testing approach that catches real accessibility barriers — because automated tools find roughly 30% of issues. The other 70% require human judgment.
The Testing Pyramid
Layer 1: Automated Testing (Catches ~30%)
What it finds:
- Missing alt text
- Colour contrast failures
- Missing form labels
- Missing language attribute
- Empty headings and buttons
- Duplicate IDs
What it misses:
- Whether alt text is meaningful
- Whether focus order is logical
- Whether content makes sense
- Whether interactions work with keyboard
- Whether the experience is usable
Tools: axe, Lighthouse, WAVE, Pa11y, jest-axe When: on every build, in CI/CD pipeline Who: automated — no human needed
Layer 2: Manual Expert Testing (Catches ~50%)
What it finds:
- Keyboard navigation issues
- Focus management problems
- Logical reading order failures
- Meaningful alt text assessment
- Cognitive accessibility barriers
- Interaction pattern issues
Method:
- Tab through every interactive element
- Test with screen reader (VoiceOver or NVDA)
- Test at 200% zoom
- Test with system preferences enabled
- Review content for plain language
When: before each release, on major feature changes Who: someone trained in accessibility testing
Layer 3: User Testing With Disabled People (Catches remaining ~20%)
What it finds:
- Real-world usability barriers that experts miss
- Assistive technology compatibility issues
- Unexpected workflows and workarounds
- Cognitive and emotional barriers
- Issues that only appear with actual AT proficiency
Method:
- Recruit participants with diverse disabilities
- Test core tasks with their own devices and AT
- Observe — don't guide or explain
- Record what works, what fails, and what frustrates
When: quarterly, or before major launches Who: users with disabilities using their own setup
What to Test First
Priority 1: Core Tasks
- Can users complete the primary tasks the product exists for?
- Test the critical path end to end
- Any failure here is a launch blocker
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.
- 11d ago First seen · 125 lines · 87 tokens per session scan A 51f905302a67
accessibility-testing-strategy is a skill published in the GitHub repository Owl-Listener/inclusive-design-skills (98 stars, last pushed 3mo ago), licensed MIT. It adds 87 tokens to every session and 883 once invoked, about $0.0004 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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