academic-research-skills-codex
Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows
Academic Research Skills Codex (ARS-Codex) is a comprehensive agent skill suite that enables AI assistants to support human-in-the-loop academic research workflows. It packages five specialized research workflows—deep research, paper writing, peer review simulation, end-to-end pipelines, and experiment planning—into a single Codex-native skill. The suite helps researchers with literature reviews, manuscript drafting, citation integrity checks, revision coaching, and simulated peer review, all while maintaining strict integrity gates and human authority boundaries for ethics and publication decisions.
Key Features
Use Cases
- 01Conducting systematic literature reviews with research question refinement and evidence synthesis
- 02Drafting academic papers from notes with IMRaD structure, citation formatting, and AI disclosure statements
- 03Simulating peer review to identify methodology gaps, contribution weaknesses, and desk-reject risks before submission
- 04Running end-to-end research-to-paper pipelines with integrity checkpoints from topic to revised manuscript
- 05Planning reproducible code experiments with protocol definition and statistical interpretation guidance
- 06Performing citation integrity audits and converting reference formats (APA, Chicago, IEEE) with verification
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academic-research-skills-codex — FAQ
What is ARS-Codex and how does it differ from the original Claude Code version?+
ARS-Codex is a Codex-native distribution of the Academic Research Skills suite, packaged as a single skill rather than the original Claude Code's four-skill layout. It adapts the same workflow content for Codex clients, emulating Claude Code's slash commands as aliases and routing requests through a unified skill interface.
How do I install the ARS-Codex agent skill?+
You can install via Codex plugin (codex plugin marketplace add Imbad0202/academic-research-skills-codex --ref main, then codex plugin add ars-codex@ars-codex) or directly as a skill using the provided Python installer script from the .codex/skills/.system/skill-installer directory. After installation, open a new Codex conversation and invoke $academic-research-suite.
Which AI clients work with ARS-Codex?+
ARS-Codex is designed for Codex and Codex Desktop clients. The original Academic Research Skills suite supports Claude Code; this is the separate Codex-native distribution.
Do I need API keys or external services to use ARS-Codex?+
No API keys are required for core workflows. Optional cross-model reviewer verification (for calibration checks) requires an external provider API key (OpenAI, Anthropic, etc.) and explicit user consent, but this is disabled by default and not needed for normal operation.
Is ARS-Codex free to use?+
Yes, ARS-Codex is open source under the CC BY-NC 4.0 license, allowing free non-commercial use. The author accepts sponsorship through Buy Me a Coffee to support maintenance.
How do I invoke different research workflows?+
Use $academic-research-suite followed by your research task description; the skill router selects the appropriate workflow automatically. You can also use Claude-style aliases like 'ars-plan', 'ars-reviewer', or 'ars-full' within your prompt to target specific modes directly.
How do I install academic-research-skills-codex?+
Open the source repository on GitHub and follow its README. academic-research-skills-codex is a skill — MCP Agents Market links you directly to the official repo.
Is academic-research-skills-codex free?+
academic-research-skills-codex is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.