Individual skill

align-human

Use when the user has a judge/grader and human-labeled data, and wants to measure how well the judge agrees with humans, detect systematic biases, determine whether automatic evaluation can replace human review, or build a human-reduction roadmap. Also use when the user mentions calibration, TPR/TNR, judge validation, inter-rater agreement, Cohen's kappa, bias detection, or "is my automatic evaluation trustworthy." Merges the calibrate and align functions into one skill.

skills/eval_pipeline/03-align-human/SKILL.md

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Network or broad shell
Last checked
Nov 10, 2026

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1,086
Repository last updated
Nov 9, 2026
License
Apache-2.0

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<HARD-GATE>
NO calibrated:true WITHOUT TPR >= 0.8 AND TNR >= 0.8 AND boundary stratum TPR >= 0.6 AND TNR >= 0.6 AND n_dev >= 10 per class AND test-set drop < 10%.
NO human_reduction_phase >= 2 WITHOUT kappa >= 0.6 AND boundary kappa >= 0.6.
NO alignment conclusion WITHOUT all 5 bias checks completed.
</HARD-GATE>

# Align Human

Measure whether your automatic judge agrees with human judgment, detect where and
why they disagree, and build a roadmap to reduce human review over time.

## When to Activate

- You have a working judge/grader and 50+ human-labeled examples
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