causal-claim-extraction

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Extract all causal claims (X causes Y, X leads to Y, X enables Y) from an artifact, producing a structured list of cause-effect pairs.

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How to use this skill

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/causal-claim-extraction/SKILL.md

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Causal Claim Extraction

Extracts all explicit and implicit causal claims from an artifact.

Execution

Subagent — spawned via subagent-spawning/spawn-agent.

Why Subagent

Causal claim extraction requires careful linguistic analysis of the entire artifact. Isolated context prevents premature evaluation of claims.

Input

artifact: The artifact to analyze
artifact_type: Type of artifact (gap, hypothesis, claim, etc.)

Output

causal_claims: List of {cause, effect, strength, evidence, location}
causal_graph: Directed graph of cause-effect relationships
claim_count: Total number of causal claims found

Budget

One unit = one extraction pass per artifact.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
spawn-agent	Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent.