abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Detect cycles, contradictions, orphans, type violations, and structural incoherence in a knowledge model.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill audit-structure-consistency --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill audit-structure-consistency -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill audit-structure-consistency -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill audit-structure-consistency -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill audit-structure-consistency -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill audit-structure-consistency -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill audit-structure-consistency -a windsurf -y
name: audit-structure-consistency description: "Detect cycles, contradictions, orphans, type violations, and structural incoherence in a knowledge model."
Audit whether a concept, argument, or graph preserves its declared structural relations and constraints.
required: [structure, relation_schema, consistency_rules] optional: [source_structure, version_history, exception_rules] constraints: [each inconsistency identifies nodes, relation, and violated rule]
1. Validate node types, relation types, direction, and required fields. 2. Check hierarchy, dependency, cardinality, and cycle constraints. 3. Compare versions or source structure where supplied. 4. 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.
produces: [consistency_report, violated_rules, valid_exceptions, repair_questions] delta_fields: [findings, uncertainties, open_questions]
Do not repair a graph silently or call a semantically weak structure consistent merely because it parses.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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