threshold-sweep
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/threshold-sweepGenerates a threshold-consensus curve by evaluating consensus status across multiple thresholds
- Identifies robust and fragile consensus items across a dataset
- Uses judgments and a threshold range as input parameters
- Computes consensus classification at each threshold level
- Returns a threshold_curve with at least 5 data points
SKILL.md
.github/skills/threshold-sweepView on GitHub ↗
--- name: threshold-sweep description: Compute consensus status at multiple threshold levels to produce a threshold-consensus curve. execution: subagent prompt: ./prompt.md input: judgments[], threshold_range used-by: structured-consensus --- # Threshold Sweep Systematically compute consensus status at multiple threshold levels across a specified range. Produces a curve showing how many items achieve consensus as the threshold varies, revealing robust vs. fragile consensus items. ## Execution Spawn a subagent that takes judgments and a threshold range, then computes consensus classification at each threshold level to produce the curve. ## Why Subagent - Sweep computation is a bounded, parallelizable task - Produces a standardized curve structure - Keeps orchestration context clean ## HARD-GATE Output MUST contain: `threshold_curve` with at least 5 data points, each showing threshold value and number of consensus items. Curve must span the full input range.
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