Evaluate the probability of sufficiency (PS) for a causal factor — would this factor alone be enough to produce the conclusion?
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
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.
No comments yet. Be the first to comment!
Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review...