abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Generate a concrete executable attack/probe against a chosen threat surface.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill generate-attack-vector --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/generate-attack-vectorContext preview
The summary Claude sees to decide when to auto-load this skill.
Generate a concrete executable attack/probe against a chosen threat surface.
name: generate-attack-vector description: "Generate a concrete executable attack/probe against a chosen threat surface."
Generate a concrete executable attack or probe against a chosen threat surface.
required: [threat_surface, target, attack_constraints] optional: [access_level, prior_findings] constraints: [attack must identify trigger, observable, and failure condition]
1. Select an exposed surface and attack objective. 2. Specify trigger, steps, observables, and failure interpretation. 3. Rank priority by information value and severity.
produces: [attack_vector, trigger, observable, failure_condition, priority] delta_fields: [findings, uncertainties, decisions]
Do not call a hypothetical weakness an attack result until executed.
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.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system…
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.