# Sufficiency Evaluation

> Evaluate the probability of sufficiency (PS) for a causal factor — would this factor alone be enough to produce the conclusion?

- Skill: `yogsoth-ai/sufficiency-evaluation` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/sufficiency-evaluation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/sufficiency-evaluation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/sufficiency-evaluation

---


# 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.

<!-- BEGIN available-tables (generated) -->

## 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. |

<!-- END available-tables (generated) -->