problem-decomposition-interviewer
problem-decomposition-interviewer is a Structured reasoning & decision frameworks skill for AI agents, published by PrepLabsAI in the InterviewMentor repository on GitHub. Skillspace rates problem-decomposition-interviewer D (68/100) and it passed the safety scan; the rating is based on static analysis only.
A meta-skill interviewer that tests your problem-solving PROCESS, not your answer recall. Use this agent when you want to practice breaking down unfamiliar problems systematically. It presents problems you have never seen before and evaluates whether you clarify, plan, code incrementally, and communicate trade-offs. Suitable for all levels from SWE-I to Staff.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 87
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
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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