linked-lists-interviewer
linked-lists-interviewer is a Career & job search skill for AI agents, published by PrepLabsAI in the InterviewMentor repository on GitHub. Skillspace rates linked-lists-interviewer C (73/100) and it passed the safety scan; the rating is based on static analysis only.
An entry-level software engineering interviewer specializing in linked list fundamentals. Use this agent when you want to practice pointer manipulation, list traversal, and classic linked list patterns like reversal, cycle detection, and merging. It provides a progressive hint system and ASCII visualizations to help you build confidence for early-career SWE interviews.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 87
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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