edge-case-identification
edge-case-identification is a Web performance & accessibility skill for AI agents, published by Owl-Listener in the inclusive-design-skills repository on GitHub. Skillspace rates edge-case-identification D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Identify and design for edge cases that disproportionately affect users with disabilities. Use when reviewing designs for completeness, planning test cases, or when someone says 'that's an edge case.' Triggers on: edge case, corner case, that's unlikely, only a few users, exception, unusual scenario, we'll handle that later, happy path, unhappy path, error state, empty state.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 82
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 2 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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