byted-recruitment-jd-optimization

byted-recruitment-jd-optimization is a Job descriptions & sourcing skill for AI agents, published by bytedance in the agentkit-samples repository on GitHub. Skillspace rates byted-recruitment-jd-optimization D (58/100) and it passed the safety scan; the rating is based on static analysis only.

JD优化与简历匹配技能。针对招聘需求补充和优化JD内容，包含显性JD文本和隐性匹配规则两部分，支持多轮沟通确认优先级和权重。

Grade
D
Quality
58 / 100
Safety
Passed
GitHub stars
371

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.

View source on GitHubbytedance/agentkit-samples

Our review

Architecture
81 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Portable: works in any project. Generic job-description optimization and resume matching, sample content only

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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