mitigation-design
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/mitigation-designDesigns countermeasures for high-priority failure modes with validation
- Solves the problem of designing effective mitigation strategies for critical risks
- Depends on failure-anticipation and mitigation-validation tactics
- Generates prevention, detection, and response measures based on failure priority
- Delivers validated countermeasures through iterative re-scoring and risk reclassification
SKILL.md
.github/skills/mitigation-designView on GitHub ↗
--- name: mitigation-design description: "Strategy: Design prevention, detection, and response measures for high-priority failure modes. Produces actionable countermeasures validated via re-scoring." type: strategy used-by: [failure-anticipation] tactics: [mitigation-validation] --- # Mitigation Design Strategy Design countermeasures for high-priority failure modes across three layers: prevention, detection, response. ## Method 1. **mitigation-design-sop** generates countermeasures for each H-priority failure: - Prevention: eliminate or reduce occurrence - Detection: improve ability to detect before impact - Response: contingency plan if failure occurs 2. **re-scoring** re-evaluates S/O/D with mitigations in place 3. **mitigation-validation** runs mini-FMEA on mitigations themselves 4. Iterate until all H-priority items reach M or L after mitigation ## Budget Table | Parameter | S | M | L | |---|---|---|---| | Mitigations per failure mode | 1 | 2 | 3 | | Re-scoring rounds | 1 | 2 | 3 | | Mitigation validation depth | shallow | standard | full FMEA | ## Orchestration ``` [H-priority failures] → mitigation-design-sop → re-scoring → action-priority-matrix (re-classify) → [still H?] → mitigation-validation → iterate → [M or L?] → accept, document residual risk ``` ## Subagents - mitigation-design-sop (countermeasure generation) - re-scoring (post-mitigation S/O/D) - action-priority-matrix (re-classification)