# Rationale Selection

> Select the minimal set of 1-3 verbatim sentences from a candidate paper/abstract sufficient to entail or refute an atomic claim (SciFact's rationale-selection step). Use this after claim-writing has produced an atomic claim, as the evidence-gathering step before claim-label-prediction; an empty rationale set is a valid outcome, not an error.

- Skill: `yogsoth-ai/rationale-selection` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/rationale-selection`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/rationale-selection/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/rationale-selection

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# Rationale Selection

Selects minimal evidentiary sentence set for a claim — middle step of the SciFact 3-chain, added to close coverage-audit finding S7 (the original graph jumped straight from claim-writing to a three-way label judgment with no evidence-selection step, even though the tag table's own stated output anchor explicitly requires rationale sentences alongside the label).

## Execution

Subagent — spawned via spawn-agent skill.

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## Available SOPs

| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. |

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