abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Construct the strongest structured attack on a claim/artifact, grounded in explicit reasons/evidence.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill construct-critique --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/construct-critiqueContext preview
The summary Claude sees to decide when to auto-load this skill.
Construct the strongest structured attack on a claim/artifact, grounded in explicit reasons/evidence.
name: construct-critique description: "Construct the strongest structured attack on a claim/artifact, grounded in explicit reasons/evidence."
Construct the strongest structured attack on a claim or artifact from an explicit perspective, grounded in reasons and evidence.
required: [target_claim_or_artifact, critique_perspective, evidence_set] optional: [argument_schema, known_assumptions, decision_context] constraints: [separate claim, ground, warrant, rebuttal, and severity; critique must target the supplied artifact]
1. State the target claim and its intended scope. 2. Generate attacks from the supplied perspective using the argument schema. 3. Attach evidence and classify each attack as formal, empirical, scope, or implementation-related. 4. Rank severity, identify the strongest-point attack, and return rebuttal requirements.
produces: [critique_set, evidence_links, severity_labels, strongest_attack, rebuttal_requirements] delta_fields: [findings, evidence_updates, uncertainties, recommended_jumps]
The caller must provide target schema, critique perspective(s), evidence set, argument model, severity scale, and whether the task is debate, convergence, or perspective review.
Reject attacks that merely restate disagreement without a reason or evidence, and reject severity labels without a stated scale.
| source | physical line | kind | source criterion | |---|---:|---|---| | convergence/critic-attack | 27 | numeric/gate | Must produce >=3 attacks, each with HIGH/MEDIUM/LOW severity and evidence, including at least 1 attack against the strongest point. |
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.