ResearchClawBench

Q: What is ResearchClawBench?

ResearchClawBench is 🦞 ResearchClawBench: Evaluating AI Agents for Automated Research from Re-Discovery to New-Discovery. It is categorized as a Codex Skill with 268 GitHub stars.

Q: What programming language is ResearchClawBench written in?

ResearchClawBench is primarily written in Jupyter Notebook. It covers topics such as agent, ai, ai-agent.

Q: How do I install or use ResearchClawBench?

You can find installation instructions and usage details in the ResearchClawBench GitHub repository at github.com/InternScience/ResearchClawBench. The project has 268 stars and 25 forks, indicating an active community.

Q: What license does ResearchClawBench use?

ResearchClawBench is released under the MIT license, making it free to use and modify according to the license terms.

by InternScience · Codex Skill · ★ 268

About ResearchClawBench

ResearchClawBench           Evaluating AI Agents for Automated Research from Re-Discovery to New-Discovery Quick Start Add Your Agent <img src="assets/teaser.png" alt="SGI Ove

agent ai ai-agent ai-scientist ai4science auto-research benchmark claude claude-code clawdbot

Quick Facts

Stars	268
Forks	25
Language	Jupyter Notebook
Category	Codex Skill
License	MIT
Quality Score	36.75/100
Open Issues	1
Last Updated	2026-10-13
Created	2026-03-18
Platforms	claude-code, codex
Est. Tokens	~86646k

Compatible Skills

These tools work well together with ResearchClawBench for enhanced workflows:

AutoR — semantic(0.39)+complementary+rare_topics+similar_pop+shared_platform (62%)
de-anthropocentric-research-engine — semantic(0.32)+complementary+rare_topics+similar_pop+shared_platform (55%)
dr-claw — semantic(0.31)+complementary+rare_topics+similar_pop+shared_platform (55%)
De-Anthropocentric-Research-Engine — semantic(0.31)+complementary+rare_topics+similar_pop+shared_platform (55%)
Auto-Research-Skills — semantic(0.27)+complementary+rare_topics+similar_pop+shared_platform (53%)

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Frequently Asked Questions

What is ResearchClawBench?

ResearchClawBench is 🦞 ResearchClawBench: Evaluating AI Agents for Automated Research from Re-Discovery to New-Discovery. It is categorized as a Codex Skill with 268 GitHub stars.

What programming language is ResearchClawBench written in?

ResearchClawBench is primarily written in Jupyter Notebook. It covers topics such as agent, ai, ai-agent.

How do I install or use ResearchClawBench?

You can find installation instructions and usage details in the ResearchClawBench GitHub repository at github.com/InternScience/ResearchClawBench. The project has 268 stars and 25 forks, indicating an active community.

What license does ResearchClawBench use?

ResearchClawBench is released under the MIT license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools