abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Design an intervention that prevents, detects, responds to, removes, or relaxes a failure mode/constraint; state residual risk and validation evidence.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-mitigation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/design-mitigationContext preview
The summary Claude sees to decide when to auto-load this skill.
Design an intervention that prevents, detects, responds to, removes, or relaxes a failure mode/constraint; state residual risk and validation evidence.
name: design-mitigation description: "Design an intervention that prevents, detects, responds to, removes, or relaxes a failure mode/constraint; state residual risk and validation evidence."
Design an intervention that prevents, detects, responds to, removes, or relaxes a failure mode.
required: [failure_mode, causal_mechanism, resource_limits] optional: [existing_controls, timeline, acceptance_criteria] constraints: [residual risk and validation evidence must be explicit]
1. Classify the failure and locate controllable causal points. 2. Generate prevention, detection, response, removal, and relaxation options. 3. Sequence selected actions with resources and validation tests. 4. 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.
produces: [mitigation_plan, validation_tests, residual_risk, success_criteria] delta_fields: [decisions, findings, uncertainties]
Caller supplies failure taxonomy, causal graph, intervention classes, resource schema, timeline, and risk scale.
Reject vague actions, controls that do not touch the mechanism, or plans without residual-risk accounting.
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
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Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.