A Claude Code skill suite that provides a human-in-the-loop academic research pipeline from literature search to publication preparation. It requires the researcher to operate the tooling externally and prevents fully autonomous AI writing.
Project overview
A Claude Code skill suite that provides a human-in-the-loop academic research pipeline from literature search to publication preparation. It requires the researcher to operate the tooling externally and prevents fully autonomous AI writing.
Researchers and educators who need CLI-based assistance with reference hunting, data verification, and multi-perspective peer review while maintaining full oversight of the writing process.
Key capabilities
Provides a 7-agent multi-perspective peer review system featuring 0–100 quality rubrics, a concession threshold protocol, and an R&R traceability matrix using an EIC, dynamic reviewers, and a Devil's Advocate.
Limitations and risks
The tool never runs experiments; the scholar must execute all experiments externally.
The project uses a CC BY-NC 4.0 license, which expressly prohibits commercial use.
LLMs may hallucinate citations if outputs are not properly audited, though the project mitigates this with integrity gates.
Getting started
Install Claude Code, export your ANTHROPIC_API_KEY, add the plugin marketplace, and install the academic-research-skills plugin.
Evidence and sources
GitHub project description: Academic Research Skills for Claude Code: research → write → review → revise → finalize
README: ARS is built on the premise that **a human researcher augmented by AI avoids these failure modes better than either alone**.
README: This tool won't write your paper for you. It handles the grunt work — hunting down references, formatting citations, verifying data, checking logical consistency
README: ARS never runs experiments
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