# Flip Point Detection

> Find the minimal change magnitude along a dimension that causes the conclusion to flip from true to false.

- Skill: `yogsoth-ai/flip-point-detection` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/flip-point-detection`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/flip-point-detection/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/flip-point-detection

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# Flip-Point Detection

Binary search for the minimal perturbation that reverses the conclusion.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent.

## Why Subagent

Flip-point detection requires iterative reasoning about graduated changes, best done in isolated context.

## Input

- **artifact**: The original artifact
- **dimension**: The dimension to perturb along
- **conclusion**: The conclusion being tested

## Output

- **flip_point**: The minimal change that flips the conclusion
- **distance**: How far from actuality the flip-point is (0.0–1.0)
- **confidence**: Confidence in the flip-point location
- **search_path**: Steps taken to find the flip-point

## Budget

One unit = one binary search per dimension.

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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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