evidence-collection
Skill2 starsChanged 6 months agoApache-2.0View on GitHub
Gather evidence for causal claims
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- Lanqiao-Luca/ai-java-workflowtheir own version, first seen Nov 8, 2026
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- Lanqiao-Luca/ai-java-workflow★ 220same name
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- 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-linking-argSkill
- evidence-linkingSkill
- evidence-weighingSkill
- feedback-loop-detectionSkill
- gap-detectionSkill
- gap-prioritizationSkill
- hierarchy-constructionSkill
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- relation-typingSkill
- seed-concept-searchSkill
- source-gatheringSkill
- strength-assessmentSkill
- strength-scoringSkill
- synthesis-reportSkill
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Evidence Collection
Systematically gather and attach evidence pages to the causal claims in the model, creating supported_by edges for confirming evidence and contradicts edges for disconfirming evidence. A causal model without evidence provenance is speculation; this strategy converts it into a structured, auditable knowledge artifact.
Guiding Focus
CC should treat evidence collection as adversarial by default: for every supported_by edge added, actively search for contradicting evidence before moving on. The contradicts edges are as important as the supported_by edges — a model that only records confirming evidence is biased. Evidence pages must record the source, study design (where applicable), and a brief assessment of quality. Quantity matters less than coverage across independent sources.
Available Tactics
- evidence-weighing — score each evidence page by study design strength, sample size, and independence from other sources
- counterfactual-reasoning — use "what evidence would change this claim?" to direct the search toward the most informative gaps
- feedback-loop-detection — flag evidence patterns that suggest bidirectional causation rather than clean one-way support
Budget Slice
| Metric | S | M | L |
| Evidence pages created | 8 | 20 | 45 |
| supported_by edges | 10 | 25 | 50 |
| contradicts edges flagged | 2 | 5 | 10 |
State Ledger Template
| Metric | Target | Current | Status |
|--------------------------|--------|---------|--------|
| Evidence pages created | S:8 / M:20 / L:45 | 0 | ⬜ |
| supported_by edges | S:10 / M:25 / L:50 | 0 | ⬜ |
| contradicts edges flagged | S:2 / M:5 / L:10 | 0 | ⬜ |<HARD-GATE>
Cannot exit until 80% of budget met. Print state ledger before each iteration decision.
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