--- name: yogsoth-ai/systematic-factor-ablation source: https://app.decimal.ai/s/yogsoth-ai-systematic-factor-ablation@1/SKILL.md source_sha256: 769882a0c549 --- # 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 ## 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. |