Part of Evaluate Candidates Consistently Across Your Hiring Pipeline
HR & Recruiting Blueprint
Safety checkedRun Quality Checks and Generate Batch Reports
Verify evaluation accuracy and produce batch tracking reports for your hiring pipeline
What problem does this solve?
Provides quality assurance and batch-level tracking for your hiring pipeline. The fact-checker validates all evaluations in a batch (scoring math, claim consistency), and the batch-reporter generates markdown summaries and CSV exports for tracking all candidates processed in a cycle, with stack ranking and status counts.
How does it work?
At the end of a batch of evaluations, run /evaluate-resumes (fact-check and reporting are automatic) or run agents manually. 1. fact-checker validates all evaluations in batch (score math, claim consistency across phases). 2. batch-reporter reads all evaluations and interview assessments, extracts key data, creates summary table with stack ranking, and exports CSV with candidate status, scores, and tech match. Output: BATCH_YYYY-MM-DD.md summary and BATCH_YYYY-MM-DD.csv for pipeline tracking.
Included Skills
No skills in this group
What's required to run this?
fact-checker runs across all evaluations in a batch, checking score math and claim consistency. batch-reporter reads all evaluation and interview files, extracts structured data, and generates both markdown (reports/BATCH_YYYY-MM-DD.md) and CSV (reports/BATCH_YYYY-MM-DD.csv). Both are gitignored but saved for your hiring pipeline records.
Key Features
fact-checker
Validates scoring math, verifies claims are consistent across resume/interview phases, flags inconsistencies
batch-reporter
Generates markdown batch summary with stack ranking and status emoji counts
CSV Export
Creates importable spreadsheet with candidate name, role, scores, recommendation, tech match for tracking
Pipeline Visibility
Reports include counts of ⭐ exceptional, 💪 strong, ✅ interview, ⚠️ borderline, ❌ no-match candidates
About This Blueprint
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- Technology
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