Evaluates how well a candidate's resume matches a target job description (JD) and produces a clean, professional HTML assessment report. Parses the resume (v...
编程
简历评估
试用Use when a recruiter wants to batch-evaluate resumes, run general resume quality checks, optionally match resumes to a JD and company background, and produce...
它能做什么
Use when a recruiter wants to batch-evaluate resumes, run general resume quality checks, optionally match resumes to a JD and company background, and produce...
技能文档
HR Resume Evaluation
Core Rule
Use this Skill only as a recruiter review aid. Never present scores as final hiring, rejection, elimination, or admission decisions.
Before Use
- Put resumes in a local input folder. Supported resume formats: Markdown, TXT, PDF, DOCX.
- Optionally prepare a JD file and company background file in Markdown or TXT.
- Set the API key environment variable configured in
config/model.yaml, defaultDEEPSEEK_API_KEY. - Read
references/scoring-rubric.md,references/role-family-taxonomy.md,references/compliance-policy.md, andreferences/output-schema.md.
Command
python scripts/evaluate_resumes.py `
--resumes input/resumes `
--jd input/jd.md `
--company input/company.md `
--output reports `
--config config/evaluation.yaml `
--model-config config/model.yaml
Omit --jd and --company for general resume quality review only.
Required Outputs
- One Markdown report per successfully evaluated resume.
- One batch summary Markdown report.
- One CSV summary file.
- Clear failure records for unreadable or invalid files.
Safety Rules
- Do not score protected or job-irrelevant traits.
- Do not infer missing resume facts.
- Do not perform background investigation.
- Do not automatically reject or approve candidates.
- Treat model output as advisory until reviewed by a human recruiter.
相关技能
Match resume against a job description. Quantified scoring and prioritized improvement tips.
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