benchclaw-stage1-literature-review

Extract claims with supporting evidence from paper collections for AI benchmarks.

Updated May 7, 2026
One-click install
npx skills add https://github.com/EurecaMoment/BenchClaw --skill benchclaw-stage1-literature-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: benchclaw-stage1-literature-review
Source: https://github.com/EurecaMoment/BenchClaw/tree/main/BenchClaw/skills/benchmark-stage1-draft/skills/literature-review
Command: npx skills add https://github.com/EurecaMoment/BenchClaw --skill benchclaw-stage1-literature-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Automates and organizes the literature review process for AI benchmark construction, ensuring comprehensive evidence compilation and accurate reference management.

Core Features & Use Cases

  • Automated Literature Extraction: Systematically extracts relevant papers and their data.
  • Evidence Compilation: Aggregates evidence with verifiable references for literature claims.
  • Use Case: Utilizes this Skill to gather and verify evidence for benchmark capabilities and limitations, facilitating accurate benchmark development.

Quick Start

Run the literature review Skill with the input data 'data_03_intent_expansion_doc' and 'data_04_retrieved_literature'.

Frequently Asked Questions about benchclaw-stage1-literature-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate literature review and evidence extraction for AI benchmark construction?

Automated literature review for AI benchmark construction processes paper collections to identify claims with supporting evidence. It systematically extracts relevant papers and aggregates verifiable references for literature claims.

What is the best way to compile evidence for AI benchmark capabilities and limitations?

Evidence compilation for AI benchmarks aggregates verifiable references for literature claims. It gathers and verifies evidence to facilitate accurate benchmark development by processing paper collections.

What input data do I need for AI literature review and benchmark construction?

AI literature review requires local access to paper files and extracted text data. Specifically, it processes input data including intent expansion documents and retrieved literature to identify claims with supporting evidence.

Can I use this Skill to verify references for claims found in retrieved papers?

Yes, you can verify references for claims found in retrieved papers. The Skill aggregates evidence with verifiable references for literature claims, processing paper collections to ensure accurate reference management.

What are the limitations of automated literature extraction for AI benchmarks?

Automated literature extraction is limited to AI benchmark development workflows and requires local access to paper files and extracted text data. It cannot process papers without pre-extracted text data or operate on remote paper collections.