Imbad0202/academic-research-skills-codex

Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows

What it solves

ARS-Codex provides a comprehensive suite of AI-driven workflows for academic research, adapted specifically for the Codex environment. It streamlines the process of moving from a broad research topic to a polished, peer-reviewed manuscript, ensuring academic integrity through structured evidence-bound reviews and citation checks.

How it works

The project functions as a single Codex skill ($academic-research-suite) that acts as a router. When a user provides a request, the router directs it to one of five specialized workflows:

  • Deep Research: For refining research questions, conducting literature reviews, and meta-analyses.
  • Academic Paper: For outlining, drafting, and formatting papers (e.g., IMRaD structure).
  • Academic Paper Reviewer: For simulating peer review and generating editorial decision letters.
  • Academic Pipeline: An end-to-end workflow from initial topic to revised manuscript with integrity gates.
  • Experiment Agent: For planning code experiments, human study protocols, and reproducibility validation.

Who it’s for

Academic researchers, students, and scholars who use Codex to manage the research lifecycle, from initial scoping and Socratic dialogue for question narrowing to final manuscript revision.

Highlights

  • Evidence-Bound Review: Uses durable evidence rows and author-adjudication contracts to ensure revisions are grounded in data.
  • Integrity Guards: Includes citation-integrity checks, claim-strength ladders, and structural PDF preflight to ensure source reliability.
  • Socratic Scoping: A dedicated mode to help users narrow broad topics into clear research questions before drafting begins.
  • Cross-Model Verification: Supports optional, consent-gated verification of research findings using external provider APIs.
  • Codex-Native Integration: Specifically packaged as a Codex plugin for portable installation and seamless routing of research tasks.

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