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    🧪 Hiring Screener Audit Harness

    by JustHandled Labs

    1

    Test an AI or rules-based resume screener for outcome changes, score drift, missing evidence, sensitive-term leakage, and human-review gaps.

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    You say

    case_id,run_id,input_fingerprint,outcome,score,evidence,human_review,sensitive_terms case-07,run-a,sha256:abc,advance,82,"5 years relevant operations experience",yes, case-07,run-b,sha256:abc,reject,61,,no,age

    Your agent does

    Recommendation: DO NOT RELY Critical: case-07 changed from advance to reject with the same input fingerprint. High: score drift was 21 points; the negative result had no evidence and no human-review path. Medium: decision evidence contained a configured sensitive term. Next step: isolate the variable, rerun the controlled case, and require human review before any live use.

    What you get

    Detect score drift in automated resume screening models.Identify sensitive-attribute leakage in screening justifications.Validate that screening outputs cite specific evidence before human review.Build reproducible test packs for recruiting system updates.

    About this skill

    Hiring Screener Audit Harness helps a hiring operator test a resume-screening system before relying on its shortlist. Supply controlled run results from the screener, including repeated cases and synthetic variants that change only the field being tested. The included local audit checks whether the same case changes outcome, whether scores drift beyond a chosen threshold, whether negative results lack cited evidence, whether sensitive terms appear in decision evidence, and whether a human-review path is missing. It returns structured findings, a severity summary, and a review memo that distinguishes READY FOR HUMAN REVIEW from DO NOT RELY. It audits the screening process rather than ranking real applicants, and it does not claim to certify compliance or prove that a system is unbiased.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.

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