Answer a specific question about a paper, grounding the answer in exact quoted evidence spans from the text (QASPER-style question-driven QA with span-level evidence, no schema categorization). Use this whenever the user asks a specific factual question about a paper and wants the answer traceable to exact text spans.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill qasper-evidence-qa --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: qasper-evidence-qa
description: Answer a specific question about a paper, grounding the answer in exact quoted evidence spans from the text (QASPER-style question-driven QA with span-level evidence, no schema categorization). Use this whenever the user asks a specific factual question about a paper and wants the answer traceable to exact text spans.
version: 1.0.0
category: paper-reading
type: sop
execution: subagent
prompt: ./prompt.md
input: 'source_path (string), meta_path (string), question (string)'
reads: 'full paper — the answering span may be anywhere'
output: 'answer (string), evidence_spans (list of strings)'
dependencies:
sops:
- spawn-agent
---
# QASPER Evidence QA
Question-driven QA with evidence-span grounding — free text, no normalized schema, since schema-driven categorization methods don't apply to open-ended paper questions.
## Execution
Subagent — spawned via spawn-agent skill.
<!-- BEGIN available-tables (generated) -->
## Available SOPs
| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. |
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