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-testing-strategygit 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-testing-strategy)<a href="https://agentmods.dev/skills/community-access/accessibility-agents/kb-testing-strategy"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/kb-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/community-access/accessibility-agents/kb-testing-strategy"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/kb-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 | $0.00042 | $0.01301 |
| Opus 5.5 | $0.00017 | $0.00520 |
| Sonnet 5.5 | $0.00008 | $0.00260 |
| Haiku 4.5 | $0.00004 | $0.00130 |
Grade A, and why
kb-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 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Testing Strategy Skill
Decision frameworks for accessibility testing — when to use automated tools vs. manual testing, which screen reader + browser combinations to test, and how to write accessibility acceptance criteria.
Automated vs. Manual Testing Coverage
Each row, with what automated tools catch (~30-40%) and what requires manual testing (~60-70%).
| What Automated Tools Catch (~30-40%) | What Requires Manual Testing (~60-70%) |
|---|---|
| Missing alt text on images | Alt text quality and accuracy |
| Missing form labels | Label clarity and helpfulness |
| Color contrast ratios (computed) | Color contrast in context (gradients, images) |
| Missing lang attribute | Correct language identification |
| Duplicate IDs | Logical reading order |
| Missing ARIA roles on custom widgets | Correct ARIA role for the interaction pattern |
| Heading hierarchy violations | Heading text meaningfulness |
| Empty links and buttons | Link/button text descriptiveness |
| Missing table headers | Table caption and header association quality |
| Syntax errors in ARIA | Screen reader announcement correctness |
Browser + Screen Reader Compatibility Matrix
Primary Test Combinations (Required)
Each screen reader, with its browser, OS and priority.
| Screen Reader | Browser | OS | Priority |
|---|---|---|---|
| NVDA | Firefox | Windows | Must test |
| NVDA | Chrome | Windows | Must test |
| JAWS | Chrome | Windows | Must test |
| VoiceOver | Safari | macOS | Must test |
| VoiceOver | Safari | iOS | Must test |
| TalkBack | Chrome | Android | Should test |
Secondary (Nice to Have)
Each screen reader, with its browser and OS.
| Screen Reader | Browser | OS |
|---|---|---|
| Narrator | Edge | Windows |
| JAWS | Edge | Windows |
Testing Decision Tree
Is it a new component or page?
├── Yes → Full test coverage (automated + manual)
│ ├── Run axe-core / Lighthouse scan
│ ├── Keyboard-only navigation test
│ ├── Screen reader announcement test (NVDA + VoiceOver minimum)
│ └── Visual check at 200% zoom
└── No → What changed?
├── Colors/styling → Contrast check + visual review
├── Interactive behavior → Keyboard + screen reader test
├── Content/text → Screen reader announcement check
├── Layout/order → Reading order + focus order test
└── Dependencies updated → Regression scan (axe-core)
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 · 155 lines · 42 tokens per session scan A b76fb2d2d245
kb-testing-strategy is a skill published in the GitHub repository Community-Access/accessibility-agents (428 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 1,301 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.
Other skills, from other repositories
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a11y-ally
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Accessibility A11y Enhanced
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Axe-core Accessibility Testing
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