sufficiency-evaluation
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/sufficiency-evaluationScores probability of sufficiency: P(Y would hold | only X present).
SKILL.md
.github/skills/sufficiency-evaluationView on GitHub ↗
--- name: sufficiency-evaluation description: Evaluate the probability of sufficiency (PS) for a causal factor — would this factor alone be enough to produce the conclusion? execution: subagent prompt: ./prompt.md input: artifact (string), factor (string), conclusion (string) used-by: [counterfactual-probing] --- # Sufficiency Evaluation Scores probability of sufficiency: P(Y would hold | only X present). ## Execution Subagent — spawned via subagent-spawning/spawn-agent. ## Why Subagent Sufficiency evaluation requires reasoning about isolated factor power, separate from necessity judgments. ## Input - **artifact**: The original artifact - **factor**: The factor to evaluate for sufficiency - **conclusion**: The conclusion to test ## Output - **ps_score**: Probability of sufficiency (0.0–1.0) - **reasoning**: Why this factor is/isn't sufficient alone - **missing_requirements**: What else would be needed - **confidence**: Confidence in the PS estimate ## Budget One unit = one sufficiency evaluation per factor.
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