evidence-weighing
Skill2 starsChanged 6 months agoApache-2.0View on GitHub
Tactic for assessing the strength and relevance of evidence for causal claims — distinguishes correlation from causation.
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
- consistency-checkingSkill
- 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
- 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
- seed-concept-searchSkill
- source-gatheringSkill
- strength-assessmentSkill
- strength-scoringSkill
- synthesis-reportSkill
- taxonomy-validationSkill
- validation-reportSkill
- The first 60 shown.
The file
Files
Evidence Weighing
Assess the strength of evidence for causal claims. Not all evidence is equal — RCTs > observational studies > expert opinion > anecdote.
Available SOPs
- evidence-linking — connect evidence to claims
- confidence-scoring — assign calibrated confidence
- contradiction-flagging — identify conflicting evidence
Guiding Principles
- Hierarchy of evidence. Interventional > observational > theoretical > anecdotal.
- Effect size matters. A statistically significant but tiny effect is weak evidence for practical causation.
- Replication is king. Single studies are suggestive; replicated findings are convincing.
- Confounders weaken. Evidence from studies with uncontrolled confounders gets lower weight.
- Mechanism strengthens. Evidence backed by a plausible mechanism gets higher weight.
Minimum Yield
<HARD-GATE>
≥2 evidence assessments with explicit strength ratings per invocation.
</HARD-GATE>Does it work?
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