# Systematic Factor Ablation

> Tactic: List all factors, remove one at a time, assess conclusion stability, rank factors by load-bearing importance.

- Skill: `yogsoth-ai/systematic-factor-ablation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/systematic-factor-ablation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/systematic-factor-ablation/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/systematic-factor-ablation

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# Systematic Factor Ablation Tactic

Ablation methodology: remove factors individually and measure conclusion degradation.

## Orchestration

1. **factor-enumeration** lists all factors supporting the conclusion
2. **single-factor-removal** removes one factor, reasons about what changes
3. **fragility-measurement** scores degradation (0.0 = no effect, 1.0 = collapse)
4. Repeat steps 2-3 for each factor within budget
5. **load-bearing-identification** ranks factors by degradation score
6. Terminate when all factors tested or budget exhausted

## Scoring

- **0.0–0.2**: Decorative factor (conclusion unaffected)
- **0.2–0.5**: Supporting factor (conclusion weakened but holds)
- **0.5–0.8**: Important factor (conclusion significantly degraded)
- **0.8–1.0**: Load-bearing factor (conclusion collapses without it)

## Subagents Dispatched

- factor-enumeration (initial listing)
- single-factor-removal (per-factor ablation)
- fragility-measurement (degradation scoring)
- load-bearing-identification (final ranking)

## Termination Conditions

- All factors within budget tested
- Early termination if first load-bearing factor found and budget is S
- Saturation: consecutive factors all score below 0.2

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## Available SOPs

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

| SOP | When to use |
| --- | --- |
| factor-enumeration | List all key factors, conditions, and assumptions that support or enable the artifact's conclusion. |
| fragility-measurement | Compute a fragility index from flip-point distances and degradation scores, summarizing how robust the conclusion is. |
| load-bearing-identification | Identify which factors are "load-bearing walls" — factors whose removal would collapse the conclusion. |
| single-factor-removal | Remove one specified factor from the artifact's support structure and reason about how the conclusion changes. |

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