abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Audit whether a validator, benchmark, sandbox, or test can pass by construction because it embeds the same assumptions as the theory it claims to validate. Build a claim×validator-assumption matrix and demand at least one non-circular failure channel.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill audit-validator-independence --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/audit-validator-independenceContext preview
The summary Claude sees to decide when to auto-load this skill.
Audit whether a validator, benchmark, sandbox, or test can pass by construction because it embeds the same assumptions as the theory it claims to validate. Build a claim×validator-assumption matrix and demand at least one non-circular failure channel.
name: audit-validator-independence description: "Audit whether a validator, benchmark, sandbox, or test can pass by construction because it embeds the same assumptions as the theory it claims to validate. Build a claim×validator-assumption matrix and demand at least one non-circular failure channel."
Detect validators that pass by construction because they copy the target theory's assumptions.
mode_contracts:
validator: &validator_audit_input
required: [target_claim, validator, validator_artifacts]
optional: [data_generation, metric, oracle, acceptance_rule]
constraints: [validator_assumptions_and_target_assumptions_must_be_separately_listed]
benchmark: *validator_audit_input
sandbox: *validator_audit_input
simulation: *validator_audit_inputDo not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
1. You MUST load skill `enumerate-validator-assumptions` to enumerate embedded validator assumptions. 2. You MUST load skill `build-noncircularity-matrix` to cross-tabulate target and validator assumptions. 3. You MUST load skill `detect-pass-by-construction` to detect copied assumptions. You MUST load skill `design-falsification-test` to design an independent failure channel. Deviation: if no non-circular channel is feasible, return blocked validation rather than a pass.
mode_contracts:
validator: &validator_audit_output
produces: [noncircularity_matrix, red_cell_actions, validator_verdict, adversarial_ground_truth_set]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]
benchmark: *validator_audit_output
sandbox: *validator_audit_output
simulation: *validator_audit_outputPass-by-construction is a finding, not evidence of corroboration. Unknown dependencies remain unresolved.
| source | source line | kind | source criterion | |---|---:|---|---| | v4 architecture | node desc | textual | Build claim-validator assumption matrix and require a non-circular failure channel. |
Append assumptions, matrix cells, circularity findings, and proposed independent test.
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.