AI Briefingacademic-research-skills: A Verification Pipeline That Blocks Hallucinated Citations in AI-Generated Academic Papers
Imbad0202/academic-research-skills
About the project
This is a skill set for Claude Code that supports the entire process from research to publication. Beyond simple text generation, it automates repetitive and error-prone tasks such as reference tracking, citation formatting, data validation, and logical consistency checks.
Instead of full automation, it adopts a Human-in-the-loop approach where humans make the final judgment. The audit mode, introduced in v3.8, verifies whether cited sources actually support the claims made, and blocks output if it detects hallucinated citations or inaccurate references.
It designs paper structures using a Socratic dialogue method and learns existing writing styles to correct mechanical prose. It is suitable for researchers who want to leverage AI efficiency while maintaining academic rigor.
Imbad0202/academic-research-skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Python
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