Causal Claim Extraction
Documentscausal-claim-extractionCausal Claim Extraction is an Agent Skill for documents published in the yogsoth-ai/de-anthropocentric-research-engine repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
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.
How to use this skill
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Inspect the Agent Skill at https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/causal-claim-extraction/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/causal-claim-extraction, but wait for my approval before writing files or running scripts.
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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. |