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Tactic for assessing the strength and relevance of evidence for causal claims — distinguishes correlation from causation.
Passed 0 of 22 test cases with the skill, and 22 of 22 without it.
0 fixed19 passed either way0 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
The instructions your model reads when the skill loads.
Assess the strength of evidence for causal claims. Not all evidence is equal — RCTs > observational studies > expert opinion > anecdote.
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| confidence-scoring | SOP for assigning calibrated confidence scores to causal claims based on evidence quality and quantity. |
| contradiction-flagging | SOP for flagging contradictions in the causal model — identify conflicting evidence or mechanism claims. |
| evidence-linking | SOP for linking evidence pages to causal claims — creates supported_by or contradicts edges. |
test cases passed, vs 22 / 22 without
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