# Deep Insight Assumption Perturbation

> One-at-a-time assumption perturbation — extract assumptions, define negations, re-derive conclusions under each negation, measure sensitivity. Identifies which assumptions are load-bearing.

- Skill: `yogsoth-ai/deep-insight-assumption-perturbation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/deep-insight-assumption-perturbation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/deep-insight-assumption-perturbation/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/deep-insight-assumption-perturbation

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# Assumption Perturbation

Systematically perturb assumptions to identify which are load-bearing.

## Operations

assumption-extraction → negation-definition → re-derivation → conclusion-sensitivity-measurement

## Available SOPs

**Subagent:** assumption-extraction, negation-definition, re-derivation, conclusion-sensitivity-measurement
**Shared:** assumption-surfacing
**Import:** paper-research

## Execution Guidance

Extract all assumptions (use shared SOP for initial surfacing), define weakest plausible alternative for each, re-derive the conclusion under each alternative, measure change magnitude and direction. Rank by sensitivity.

Key principle: negation is not logical NOT — it is the strongest plausible alternative. "Data is normally distributed" negates to "data follows a heavy-tailed distribution" not "data is not normally distributed."

## Minimum Yield

```
<HARD-GATE>
- Assumptions extracted: >= 5
- Negations defined: >= 5
- Re-derivations completed: >= 4
- Sensitivity rankings produced: >= 1 complete ranking
</HARD-GATE>
```

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## Available SOPs

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

| SOP | When to use |
| --- | --- |
| conclusion-sensitivity-measurement | Quantify how much conclusions change across all assumption negations and produce a sensitivity ranking. |
| deep-insight-assumption-extraction | Systematically extract all assumptions (stated, implicit, boundary, mathematical, practical) from a method or model. |
| deep-insight-assumption-surfacing | Systematically extract implicit assumptions from methods, frameworks, or arguments. Identifies what is taken for granted without explicit justification. |
| deep-insight-paper-research | Full-text paper reading via three-pass Keshav method. Import of literature-engine/literature-research skill. Authoritative source for claims about paper content. |
| negation-definition | Define strongest plausible alternatives (negations) for each assumption to enable perturbation analysis. |
| re-derivation | Re-derive conclusions under a negated assumption, tracking where the derivation diverges from the original. |

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