review-resume

review-resume is a Résumés & professional documents skill for AI agents, published by toongri in the oh-my-toong-playground repository on GitHub. Skillspace rates review-resume D (67/100) and it passed the safety scan; the rating is based on static analysis only.

Use when the user asks to review, evaluate, check, or get feedback on their resume — even partially (self-introduction/자기소개, career/경력, problem-solving/문제해결, or any single section). Triggers on resume review/evaluation/feedback (이력서 리뷰/검토/피드백), section-specific evaluation requests, interview readiness checks, achievement line quality, AI tone audit, or _config.yml + review intent. When a JD is provided, evaluates JD fit and recommends optimal content from the candidate pool. NOT for simple _config.yml edits, PDF generation, layout/CSS changes, or interview prep.

Grade
D
Quality
67 / 100
Safety
Passed
GitHub stars
25

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
82 / 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

  • 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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.