# Threshold Sweep

> Compute consensus status at multiple threshold levels to produce a threshold-consensus curve.

- Skill: `yogsoth-ai/threshold-sweep` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/threshold-sweep`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/threshold-sweep/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/threshold-sweep

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# 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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## Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |

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