hr-backend
hr-backend is a Résumé screening & interviewing skill for AI agents, published by tuanductran in the hr-skills repository on GitHub. Skillspace rates hr-backend C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Help HR managers, recruiters, and talent acquisition teams understand Backend Engineering concepts, hiring requirements, backend ecosystems, candidate evaluation, APIs, databases, scalability, cloud-adjacent backend infrastructure, and modern server-side workflows. Use when asked to "explain backend development", "screen backend candidates", "understand APIs and databases", "compare backend frameworks", "evaluate backend skills", "create backend interview questions", "understand microservices", "understand cloud backend systems", or any backend hiring and recruiting task.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 27
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
- 100 / 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 backend engineering knowledge for recruiters, no product ties
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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