candidate-evaluation
candidate-evaluation is a Résumé screening & interviewing skill for AI agents, published by pollinations in the pollinations repository on GitHub. Skillspace rates candidate-evaluation D (64/100) and it passed the safety scan; a judge model has also reviewed it.
Evaluate GitHub contributors for MLOps/engineering roles. Use when analyzing candidates, researching GitHub profiles, or updating CONTRIBUTORS.md with hiring assessments.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 4,834
Placed #3 of 6 in the judged category final for Résumé screening & interviewing.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Repo-internal: written for the repository it lives in. Hiring evaluation for Pollinations, updates its CONTRIBUTORS.md
Judge review
Placed #3 of 6 in the judged category final for Résumé screening & interviewing.
- Trigger
85 85 - Instructions
85 85 - Specificity
88 88 - Safety
72 72 - Disclosure
55 55 - Maintenance
58 58
Concrete GitHub-contributor evaluation workflow with real gh api commands, though it bakes everything inline and risks publishing personal-weakness verdicts about identifiable contributors.
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- No blind task eval yet
- 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.