mitigation-proposal
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/mitigation-proposalProposes mitigation strategies for classified weaknesses with feasibility analysis
- Solves the problem of identifying practical ways to reduce system vulnerabilities
- Uses classified weakness data and artifact context from prior analysis steps
- Evaluates prevention, detection, and response options based on severity and context
- Returns structured mitigation proposals with residual risk assessment
SKILL.md
.github/skills/mitigation-proposalView on GitHub ↗
--- name: mitigation-proposal description: Proposes concrete mitigation strategies for identified weaknesses. Generates prevention, detection, and response measures with feasibility assessment. execution: subagent prompt: ./prompt.md input: classified_weakness (string), artifact_context (string) used-by: failure-anticipation, red-teaming, adversarial-stress-testing --- # Mitigation Proposal Proposes concrete mitigation strategies for identified weaknesses. ## Execution Subagent — spawned via subagent-spawning/spawn-agent. ## Why Subagent Mitigation design requires creative problem-solving in dedicated context, separate from the attack/discovery mindset. ## Input - **classified_weakness**: The weakness with severity classification - **artifact_context**: The original artifact context ## Output - **prevention_measures**: What changes prevent this weakness - **detection_mechanisms**: What checks catch this earlier - **response_actions**: What contingency limits damage - **feasibility_assessment**: How practical are these mitigations - **residual_risk**: What risk remains after mitigation ## Constraint Stop at proposal — do NOT modify the original artifact. Suggestions only. ## Budget One unit = one mitigation proposal per weakness. Focus on fatal and major findings.