binary-trees-interviewer

binary-trees-interviewer is a Tutoring & exam preparation skill for AI agents, published by PrepLabsAI in the InterviewMentor repository on GitHub. Skillspace rates binary-trees-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 binary tree data structures. Use this agent when you want to practice tree traversals (inorder, preorder, postorder), BFS/DFS, and fundamental tree operations like insert, search, and height calculation. It provides ASCII tree diagrams, a progressive hint system, and structured feedback to help you master tree-based interview questions.

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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