Paper Qa

VERIFIED

High accuracy RAG for answering questions from scientific documents with citations

Downloads 0
Stars 8.5K
Version 1.0.0
Quality 100/100 · Excellent

Install with one command

$ npx skills add Future-House/paper-qa

Best for

RAG and knowledge

Use these skills to ingest documents, index knowledge, retrieve relevant context, and make agents better at answering with grounded sources.

Choose it when

  • You want a GitHub-backed skill with 8.5K stars.
  • You need a reusable install command for agents.
  • You want to compare it with related marketplace skills.

Check before install

  • Pushed 2mo ago
  • License: Apache-2.0
  • Review the repository README and examples.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
8.5K
Freshness
2mo ago
Install ready
Yes
License
Apache-2.0

Workflow fit

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Stack fit

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Overview

High accuracy RAG for answering questions from scientific documents with citations

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
ragFULL

Technical Details

Version
1.0.0
License
Apache-2.0
Last Updated
5/23/2026
Published
5/23/2026

Frameworks & Tools

PythonRAG

Author

F

Future-House

@future-house

Platform Fit

Health Signals

GitHub stars
8.5K
Quality score
66/100
Last GitHub push
Mar 20, 2026
Framework hints
2

Community Signal

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Trust & Safety

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: Apache-2.0
  • Manually verified by team