evaluating-candidates
evaluating-candidates is a Résumé screening & interviewing skill for AI agents, published by liqiongyu in the lenny_skills_plus repository on GitHub. Skillspace rates evaluating-candidates D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Make evidence-based hiring decisions: scorecards, work samples, reference checks. See also: conducting-interviews (run interviews).
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 52
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
- 88 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General evidence-based hiring evaluation practice
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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