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/build-noncircularity-matrix

Cross-tabulate target theory claims/assumptions against validator assumptions and mark independent, shared, derived-from-target, or unknown dependencies.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill build-noncircularity-matrix --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/build-noncircularity-matrix

Context preview

The summary Claude sees to decide when to auto-load this skill.

Cross-tabulate target theory claims/assumptions against validator assumptions and mark independent, shared, derived-from-target, or unknown dependencies.

SKILL.md

build-noncircularity-matrix.SKILL.md
name: build-noncircularity-matrix
description: "Cross-tabulate target theory claims/assumptions against validator assumptions and mark independent, shared, derived-from-target, or unknown dependencies."

build-noncircularity-matrix

Purpose

Cross-tabulate target claims/assumptions against validator assumptions and expose circularity.

Input contract

required: [target_claims, target_assumptions, validator_assumptions]
optional: [evidence_channels]
constraints: [each cell is independent/shared/derived-from-target/unknown]

Procedure

1. Enumerate both assumption sets. 2. Populate dependency cells with evidence. 3. Identify copied assumptions and independent failure channels.

If the matrix exposes shared premises or dependent validation paths, consider `detect-pass-by-construction` as the next tactic.

Output contract

produces: [noncircularity_matrix, dependency_summary, independent_channels]
delta_fields: [findings, evidence_updates, uncertainties, decisions]

Quality gates

  • Unknown dependencies remain unknown; they are not counted independent.
  • At least one non-circular channel is required for validation.

Failure and counterexamples

A validator that embeds the target claim cannot corroborate it by construction.

Provenance map

  • resolved: circular-validation-audit
Ships withde-anthropocentric-research-engine

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.

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Python
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Apache-2.0
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4h ago
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7mo ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine