design-mitigation
SkillMediaLets your agent design a claude skill-style mitigation plan for a failure mode, with residual risk and validation tests.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the design-mitigation skill
About this skill
Design an intervention that prevents, detects, responds to, removes, or relaxes a failure mode/constraint; state residual risk and validation evidence.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/design-mitigation/SKILL.md and read by ahel’s review.
Purpose
Design an intervention that prevents, detects, responds to, removes, or relaxes a failure mode.
Input contract
required: [failure_mode, causal_mechanism, resource_limits]
optional: [existing_controls, timeline, acceptance_criteria]
constraints: [residual risk and validation evidence must be explicit]
Procedure
- Classify the failure and locate controllable causal points.
- Generate prevention, detection, response, removal, and relaxation options.
- Sequence selected actions with resources and validation tests.
- Estimate residual risk and define escalation conditions.
If the mitigation has an explicit mechanism and measurable target, consider validate-mitigation-effect as the next tactic.
Output contract
produces: [mitigation_plan, validation_tests, residual_risk, success_criteria]
delta_fields: [decisions, findings, uncertainties]
Quality gates
- Plan contains at least 3 sequenced actions when a multi-step intervention is feasible.
- Each action has an owner-independent resource statement, validation test, and success criterion.
- Residual risk is not reported as zero without evidence.
Parameterization
Caller supplies failure taxonomy, causal graph, intervention classes, resource schema, timeline, and risk scale.
Failure and counterexamples
Reject vague actions, controls that do not touch the mechanism, or plans without residual-risk accounting.
Provenance map
- concept: stress-test/mitigation-design-sop
- concept: stress-test/re-scoring
- concept: convergence/removal-path
- intermediate: Pass3/design-mitigation
- intermediate: Pass3/design-removal-path
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
design-mitigation- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine