interview-me
interview-me is a Discovery & requirements clarification skill for AI agents, published by addyosmani in the agent-skills repository on GitHub. Skillspace rates interview-me D (68/100) and it passed the safety scan; a judge model has also reviewed it.
Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified ("build me X" without "for whom" or "why now"), when the user explicitly invokes ("interview me", "grill me", "are we sure?", "stress-test my thinking"), or when you catch yourself silently filling in ambiguous requirements before any plan, spec, or code exists.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 93,916
Placed #2 of 6 in the judged category final for 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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #2 of 6 in the judged category final for Discovery & requirements clarification.
- Trigger
92 92 - Instructions
92 92 - Specificity
90 90 - Safety
90 90 - Disclosure
65 65 - Maintenance
55 55
The only skill here that explicitly refuses to run in CI or loop contexts and flags a blocker instead of guessing when no live user is present.
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
Also published in 1 other repo
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