Design prevention, detection, and response measures for high-priority failure modes. Produces actionable countermeasure specifications.
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
name: mitigation-design-sop
description: Design prevention, detection, and response measures for high-priority failure modes. Produces actionable countermeasure specifications.
execution: subagent
prompt: ./prompt.md
input: high_priority_modes (string), chains (string), function_tree (string)
used-by: [failure-anticipation]
---
# Mitigation Design SOP
Designs three-layer countermeasures (prevention, detection, response) for high-priority failure modes.
## Execution
Subagent — spawned via subagent-spawning/spawn-agent.
## Why Subagent
Mitigation design requires creative problem-solving focused on solutions, isolated from the analytical mindset of failure identification.
## Input
- **high_priority_modes**: H-priority failure modes with chains
- **chains**: Full cause-mode-effect chains for context
- **function_tree**: Function structure for integration points
## Output
- **mitigations**: For each H-priority mode: prevention, detection, and response measures
- **implementation_notes**: Feasibility and resource requirements
- **residual_risk**: Expected risk remaining after mitigation
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