necessity-evaluation

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Evaluate the probability of necessity (PN) for a causal factor — would the conclusion fail if this factor were absent?

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

name: necessity-evaluation description: Evaluate the probability of necessity (PN) for a causal factor — would the conclusion fail if this factor were absent? execution: subagent prompt: ./prompt.md input: artifact (string), factor (string), conclusion (string) dependencies: sops: - spawn-agent

Necessity Evaluation

Scores probability of necessity: P(Y would not hold | X absent).

Execution

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

Why Subagent

Necessity evaluation requires careful counterfactual reasoning about absence, isolated from sufficiency judgments.

Input

  • artifact: The original artifact
  • factor: The factor to evaluate for necessity
  • conclusion: The conclusion that may depend on this factor

Output

  • pn_score: Probability of necessity (0.0–1.0)
  • reasoning: Why this factor is/isn't necessary
  • alternative_paths: Other ways the conclusion could hold without this factor
  • confidence: Confidence in the PN estimate

Budget

One unit = one necessity evaluation per factor.

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.
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill necessity-evaluation
Repository Details
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