audit-structure-consistency
SkillAI & modelsLets your agent check a knowledge model for cycles, contradictions, orphans, and broken structural rules.
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 audit-structure-consistency skill
About this skill
Detect cycles, contradictions, orphans, type violations, and structural incoherence in a knowledge model.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/audit-structure-consistency/SKILL.md and read by ahel’s review.
Purpose
Audit whether a concept, argument, or graph preserves its declared structural relations and constraints.
Input contract
required: [structure, relation_schema, consistency_rules]
optional: [source_structure, version_history, exception_rules]
constraints: [each inconsistency identifies nodes, relation, and violated rule]
Procedure
- Validate node types, relation types, direction, and required fields.
- Check hierarchy, dependency, cardinality, and cycle constraints.
- Compare versions or source structure where supplied.
- Emit inconsistencies, valid exceptions, and repair questions.
If the structure is internally consistent but leaves required areas unrepresented, consider detect-coverage-gap as the next tactic.
Output contract
produces: [consistency_report, violated_rules, valid_exceptions, repair_questions]
delta_fields: [findings, uncertainties, open_questions]
Quality gates
- Rules and exception policy are declared before checking.
- Structural validity is separated from semantic truth.
Failure and counterexamples
Do not repair a graph silently or call a semantically weak structure consistent merely because it parses.
Provenance map
resolved: audit-structure-consistency
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
audit-structure-consistency- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine