kogasa-surprise-testing
kogasa-surprise-testing is a Test strategy & case design skill for AI agents, published by N0zoM1z0 in the gensokyo-skills repository on GitHub. Skillspace rates kogasa-surprise-testing C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Discover plausible inputs, state transitions, orderings, and dependency behaviors that violate an expected contract, prove the smallest genuine surprise, and forge it into a deterministic regression test. Use for edge-case design, negative testing, failure injection, fragile happy paths, or bugs that need a durable test. Do not use for purely conceptual assumption challenges, open-ended feasibility spikes, incident recovery, or exhaustive test-plan generation without a defined oracle.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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