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 edge-case-identificationgit 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/edge-case-identification)<a href="https://agentmods.dev/skills/owl-listener/inclusive-design-skills/edge-case-identification"><img src="https://agentmods.dev/badge/skills/owl-listener/inclusive-design-skills/edge-case-identification/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/edge-case-identification"><img src="https://agentmods.dev/badge/skills/owl-listener/inclusive-design-skills/edge-case-identification.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 | $0.00079 | $0.00883 |
| Opus 5 | $0.00039 | $0.00441 |
| Sonnet 5 | $0.00016 | $0.00177 |
| Haiku 4.5 | $0.00008 | $0.00088 |
Grade A, and why
edge-case-identification 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Edge Case Identification
Identify the scenarios that teams dismiss as "edge cases" but that are everyday reality for users with disabilities. An edge case for the team is often a primary case for someone.
Core Principle
"That's an edge case" is the most common way accessibility gets deprioritised. If it affects people with disabilities, it's not an edge case — it's a design requirement you haven't met.
Categories of Overlooked Edge Cases
Input Edge Cases
- User cannot use a mouse (keyboard only)
- User cannot use a keyboard (voice or switch only)
- User cannot use both hands (one-handed operation)
- User pastes content instead of typing it
- User uses autocomplete or password manager to fill fields
- User enters content in a different script or language
- User inputs using dictation with punctuation spoken aloud
Output Edge Cases
- User cannot see the screen (screen reader)
- User sees only a small portion of the screen (magnification)
- User cannot distinguish colours
- User cannot hear audio
- User has screen in greyscale mode or high contrast mode
- User has text scaled to 200%
- User has animations disabled
Content Edge Cases
- Extremely long names (hyphenated, multi-word, cultural naming)
- Non-Latin characters in name or address fields
- Empty states where no data exists yet
- Error states when everything goes wrong at once
- First-time use with no prior context
- Returning after months away with forgotten context
- Content in the wrong language for the user
Context Edge Cases
- Session timeout during a long form
- Connection lost mid-task
- Battery dying during a critical flow
- Screen rotation mid-interaction
- System font size set to maximum
- Browser zoom at 200% or higher
- Ad blocker or privacy extension modifying the page
Timing Edge Cases
- User is much slower than expected (switch user, cognitive delay)
- User is much faster than expected (screen reader power user)
- User needs to pause mid-task for hours or days
- Timed session expires before user finishes
- Content updates while user is reading it
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 · 101 lines · 79 tokens per session scan A cabbd42c2d75
edge-case-identification is a skill published in the GitHub repository Owl-Listener/inclusive-design-skills (98 stars, last pushed 3mo ago), licensed MIT. It adds 79 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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