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...
--- name: hr-resume-evaluation description: 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 evidence-backed Markdown and CSV review reports. --- # 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 1. Put resumes in a local input folder. Supported resume formats: Markdown, TXT, PDF, DOCX. 2. Optionally prepare a JD file and company background file in Markdown or TXT. 3. Set the API key environment variable configured in `config/model.yaml`, default `DEEPSEEK_API_KEY`. 4. Read `references/scoring-rubric.md`, `references/role-family-taxonomy.md`, `references/compliance-policy.md`, and `references/output-schema.md`. ## Command ```powershell 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.
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