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.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill rationale-selection --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: rationale-selection
description: 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.
version: 1.0.0
category: paper-reading
type: sop
execution: subagent
prompt: ./prompt.md
input: 'atomic_claim (string), source_path (string), meta_path (string)'
reads: 'full paper — the entailing sentences may be anywhere'
output: 'rationale_sentences (list of strings, 0-3 items)'
dependencies:
sops:
- spawn-agent
---
# 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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