interview-me
interview-me is a Discovery & requirements clarification skill for AI agents, published by kdlbs in the kandev repository on GitHub. Skillspace rates interview-me C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Clarify a standalone idea or check assumptions before feature or fix planning. Use focused questions, stress-test intent, and map unresolved decisions for large uncertain initiatives.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 785
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
- 99 / 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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