consistency-checking
Skill2 starsChanged 6 months agoApache-2.0View on GitHub
Tactic for verifying ontology consistency — detect contradictions, cycles, orphans, and type violations.
In this repository70 other files it gives its agents.
- alias-resolutionSkill
- argument-mappingSkill
- argument-synthesisSkill
- argument-visualizationSkill
- axis-extractionSkill
- axis-validationSkill
- causal-chain-querySkill
- causal-modelingSkill
- claim-decompositionSkill
- claim-extractionSkill
- claim-page-creationSkill
- combination-enumerationSkill
- combination-mappingSkill
- concept-decompositionSkill
- concept-extractionSkill
- concept-page-creationSkill
- confidence-scoringSkill
- confidence-updateSkill
- contradiction-flaggingSkill
- counterfactual-reasoningSkill
- dimensional-analysisSkill
- dimension-discoverySkill
- dimension-page-creationSkill
- domain-scopingSkill
- edge-batch-creationSkill
- evidence-attachmentSkill
- evidence-collectionSkill
- evidence-linking-argSkill
- evidence-linkingSkill
- evidence-weighingSkill
- feedback-loop-detectionSkill
- gap-detectionSkill
- gap-prioritizationSkill
- hierarchy-constructionSkill
- hierarchy-visualizationSkill
- intervention-analysisSkill
- intervention-page-creationSkill
- knowledge-compilationSkill
- loop-documentationSkill
- matrix-exportSkill
- matrix-generationSkill
- mechanism-edge-creationSkill
- mechanism-mappingSkill
- merge-candidatesSkill
- model-gap-detectionSkill
- model-validationSkill
- novelty-scoringSkill
- ontology-buildingSkill
- ontology-exportSkill
- ontology-refinementSkill
- question-generationSkill
- rebuttal-documentationSkill
- relation-typingSkill
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- source-gatheringSkill
- strength-assessmentSkill
- strength-scoringSkill
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Verify the ontology is internally consistent.
- Distinctive: line 24
Fix root causes: Don't just remove the symptom — understand why the inconsistency arose.
- Distinctive: line 30
If vault_lint returns zero issues and graph inspection finds no problems, report clean state.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Consistency Checking
Verify the ontology is internally consistent. No contradictions, no cycles in hierarchies, no orphaned concepts, no type violations.
Available SOPs
- wiki-lint-fix — run structural validation
- wiki-graph-query — explore suspicious neighborhoods
- gap-detection — find structural holes
- merge-candidates — identify near-duplicates
Guiding Principles
- Contradictions are urgent. Two edges that contradict each other (A supports B, A contradicts B) must be resolved immediately.
- Orphans are warnings. A concept with no edges is suspicious but not necessarily wrong — it may just need connection.
- Type violations are errors. An edge type that doesn't make semantic sense (e.g., "question" component_of "source") indicates a classification mistake.
- Fix root causes. Don't just remove the symptom — understand why the inconsistency arose.
Minimum Yield
<HARD-GATE>
≥1 inconsistency identified and resolved per invocation.
If vault_lint returns zero issues and graph inspection finds no problems, report clean state.
</HARD-GATE>Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
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