build-noncircularity-matrix
SkillDev toolsLets your agent build a claude skill-style matrix that checks whether a theory's validation is circular.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the build-noncircularity-matrix skill
About this skill
Cross-tabulate target theory claims/assumptions against validator assumptions and mark independent, shared, derived-from-target, or unknown dependencies.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/build-noncircularity-matrix/SKILL.md and read by ahel’s review.
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
- Enumerate both assumption sets.
- Populate dependency cells with evidence.
- 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
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
build-noncircularity-matrix- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine