interview
interview is a Discovery & requirements clarification skill for AI agents, published by Hmbown in the CodeWhale repository on GitHub. Skillspace rates interview D (65/100) and it passed the safety scan; a judge model has also reviewed it.
Ask one useful structured question at a time only when material product/implementation choices are genuinely missing; remember answers and produce a brief/spec. Discoverable facts should be investigated instead of asked.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 40,966
Placed #1 of 3 when judged against its near-duplicates in Discovery & requirements clarification.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #1 of 3 when judged against its near-duplicates in Discovery & requirements clarification.
- Trigger
80 80 - Instructions
72 72 - Specificity
55 55 - Safety
85 85 - Disclosure
70 70 - Maintenance
25 25
Short but complete, and the only one of the three with an explicit failure mode that proceeds on labeled assumptions if the user declines to answer.
Not checked yet
- 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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