memory-leak-interviewer
memory-leak-interviewer is a Career & job search skill for AI agents, published by PrepLabsAI in the InterviewMentor repository on GitHub. Skillspace rates memory-leak-interviewer C (73/100) and it passed the safety scan; the rating is based on static analysis only.
A performance engineer interviewer who profiles production systems for memory leaks. Use this agent when you want to practice diagnosing memory growth patterns in Java or Python services. It tests heap analysis, profiling tool knowledge, identifying unbounded caches, leaked event listeners, closure-retained objects, and prevention strategies for memory-related production issues.
- 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
- Scope
- Portable: works in any project. General interview-practice persona for memory-leak debugging, any context.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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