academic-research-skills-codex
Aradotso/codex-skills · Agent Skill
自動化學術研究:文獻綜述、論文寫作、同行評審和完整的研討會。
前往安裝 ↓總覽
| 發布者 | |
|---|---|
| 儲存庫 | Aradotso/codex-skills ↗ |
| 技能資料夾 | academic-research-skills-codex |
| 附帶檔案 | 1 |
| 授權 | 未標示 — 請向作者確認 |
| 最近更新 | 2026年5月16日 |
| 連結 | 技能原始碼 ↗ · 儲存庫 ↗ |
Mozgi 檢查
我們在技能檔案中發現的內容。詳細資訊需訂閱。
安裝
技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。
把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。
Install the “academic-research-skills-codex” skill from mozgi.io (https://mozgi.io/skills/academic-research-skills-codex/) for me. 1. Download the archive: https://mozgi.io/skills/academic-research-skills-codex/download If it fails, take the skill folder from the source: https://github.com/Aradotso/codex-skills/tree/main/skills/academic-research-skills-codex 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “academic-research-skills-codex” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/academic-research-skills-codex/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/Aradotso/codex-skills.git /tmp/codex-skills mkdir -p .claude/skills cp -r /tmp/codex-skills/skills/academic-research-skills-codex .claude/skills/academic-research-skills-codex
重新啟動 Claude Code — 技能就會出現在清單中,手動呼叫:/academic-research-skills-codex。要套用到所有專案,請放在 ~/.claude/skills。
git clone --depth 1 --branch main https://github.com/Aradotso/codex-skills.git /tmp/codex-skills mkdir -p .agents/skills cp -r /tmp/codex-skills/skills/academic-research-skills-codex .agents/skills/academic-research-skills-codex
Codex 會從目前資料夾往上到儲存庫根目錄,在 .agents/skills 中尋找技能;用 /skills 或 $academic-research-skills-codex 呼叫。所有專案:~/.agents/skills。
git clone --depth 1 --branch main https://github.com/Aradotso/codex-skills.git /tmp/codex-skills mkdir -p .cursor/skills cp -r /tmp/codex-skills/skills/academic-research-skills-codex .cursor/skills/academic-research-skills-codex
Cursor 啟動時會載入技能;在 Agent 聊天輸入「/」呼叫。Cursor 也會讀取 .claude/skills 與 .agents/skills。所有專案:~/.cursor/skills。
git clone --depth 1 --branch main https://github.com/Aradotso/codex-skills.git /tmp/codex-skills mkdir -p .gemini/skills cp -r /tmp/codex-skills/skills/academic-research-skills-codex .gemini/skills/academic-research-skills-codex
任務符合時,Gemini CLI 會提議啟用技能,由你確認。所有專案:~/.gemini/skills。
安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。
SKILL.md 內容
作者原文 · 唯讀Academic Research Skills for Codex
> Skill by ara.so ↗ — Codex Skills collection.
This skill provides a comprehensive suite of AI-assisted academic research workflows including deep research, paper writing, peer review, and end-to-end research pipelines. Originally designed for Claude Code, this Codex-native package routes requests to specialized research agents based on user intent.
What It Does
Academic Research Skills (ARS) for Codex provides five core workflows:
1. Deep Research - Literature reviews, systematic reviews, research question refinement, fact-checking
2. Academic Paper - Outlining, drafting, citation formatting, revision, AI disclosure
3. Academic Paper Reviewer - Manuscript review, simulated peer review, editorial decisions
4. Academic Pipeline - End-to-end research-to-publication workflow with integrity gates
5. Experiment Agent - Code experiment planning, study protocols, reproducibility validation
Installation
Install using the Codex skill installer with git method:
python "$HOME/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py" \
--repo Imbad0202/academic-research-skills-codex \
--ref main \
--path skills/academic-research-suite \
--method git
Update Existing Installation
rm -rf "$HOME/.codex/skills/academic-research-suite"
python "$HOME/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py" \
--repo Imbad0202/academic-research-skills-codex \
--ref main \
--path skills/academic-research-suite \
--method git
After installation, open a new Codex conversation to activate the skill.
Verify Installation
/skills
You should see one entry: academic-research-suite. You should NOT see separate entries for academic-paper, deep-research, etc.
Core Usage Patterns
Basic Invocation
Use $academic-research-suite followed by your research task:
Use $academic-research-suite to help me plan a systematic literature review on
AI adoption in higher education quality assurance.
The Codex adapter automatically routes to the appropriate workflow based on your request.
Workflow Selection
| Workflow | When to Use | Example Trigger |
|----------|-------------|-----------------|
| deep-research | Need research question refinement, literature review, fact-checking | "conduct a systematic review on..." |
| academic-paper | Need paper outline, drafting, citations, revision | "write a research paper about..." |
| academic-paper-reviewer | Need manuscript review, peer review simulation | "review this research manuscript..." |
| academic-pipeline | Need full research-to-publication workflow | "run end-to-end pipeline from topic to paper" |
| experiment-agent | Need code experiment design, study protocols | "plan a reproducible code experiment..." |
Structured Request Pattern
For best results, provide goal, current state, and constraints:
Use $academic-research-suite.
Goal: write a journal article on AI in higher education QA
Current materials: literature matrix and rough findings, no outline yet
Output needed: paper architecture and evidence checklist
Constraints: English, APA 7, policy audience
Command Aliases
Codex emulates Claude Code /ars-* commands as aliases:
| Alias | Workflow | Purpose |
|-------|----------|---------|
| ars-plan | academic-paper | Create paper plan/structure |
| ars-outline | academic-paper | Generate outline only |
| ars-abstract | academic-paper | Draft abstract |
| ars-lit-review | academic-paper | Build literature review |
| ars-citation-check | academic-paper | Verify citations |
| ars-disclosure | academic-paper | Generate AI disclosure statement |
| ars-format-convert | academic-paper | Convert between formats |
| ars-revision-coach | academic-paper | Get revision guidance |
| ars-revision | academic-paper | Execute revisions |
| ars-full | academic-pipeline | Run full pipeline |
Using Aliases
Either prefix style works:
Use $academic-research-suite: ars-plan my paper on AI governance
Or if your client supports it:
/ars-plan my paper on AI governance
Workflow Examples
Deep Research: Socratic Question Refinement
When you have a broad topic but no clear research question:
Use $academic-research-suite.
I want to write about AI adoption in higher education quality assurance.
I don't have a clear research question yet.
Use Socratic dialogue to help me narrow the question first.
Expected: ARS asks narrowing questions before producing an outline.
Academic Paper: From Notes to Draft
Use $academic-research-suite.
Task: Turn these research notes into an IMRaD paper.
Materials: [attach notes.md, data_summary.csv]
Target: 6000-8000 words, APA 7, submit to Higher Education Research
Output: Full outline with section word counts, then draft intro
Paper Review: Simulated Peer Review
Use $academic-research-suite to review this manuscript.
Mode: full review
Focus: methodology, contribution, citation integrity, desk-reject risks
Output: reviewer reports + editorial decision letter
[attach manuscript.pdf or manuscript.md]
Academic Pipeline: Staged Execution
For checkpoint-based workflow:
Use $academic-research-suite to start an academic-pipeline run.
Begin with Stage 0 intake and stop after producing the pipeline dashboard.
Wait for my approval before Stage 1.
Experiment Agent: Reproducible Study Design
Use $academic-research-suite experiment-agent.
Plan a code experiment comparing three ML models on education dataset.
Requirements: reproducible, statistical rigor, version control, artifact storage
Output: experiment protocol + reproducibility checklist
Configuration
Environment Variables
For cross-model verification (optional):
export ARS_CROSS_MODEL=claude-opus-4.7
export ANTHROPIC_API_KEY=your_api_key_here
Without these, ARS runs entirely within Codex/OpenAI. Cross-model review uses Anthropic API when explicitly requested.
Material Passport
ARS tracks research artifacts through "Material Passports" - metadata files that follow:
{
"artifact_id": "paper_v1_outline",
"created": "2026-05-17T10:30:00Z",
"workflow": "academic-paper",
"stage": "outline",
"integrity_checks": ["citation_format", "structure"],
"sources": ["source1.pdf", "source2.pdf"],
"status": "approved"
}
Reset Material Passport by starting a new Codex conversation.
Working with Citations
Citation Check
Use $academic-research-suite: ars-citation-check
[paste paper text with citations]
Verify all citations are formatted correctly in APA 7.
Flag any unverifiable sources.
Expected output:
- Citation format compliance report
- Unverifiable citations flagged
- Suggested corrections
Literature Review Mode
Use $academic-research-suite: ars-lit-review
Topic: AI ethics in higher education
Scope: 2020-2026, peer-reviewed only
Output: thematic synthesis with citation matrix
Paper Formatting and Conversion
Format Conversion
Use $academic-research-suite: ars-format-convert
Input: [attach paper.md]
From: Markdown
To: LaTeX (IEEE conference template)
Preserve: citations, figures, tables
AI Disclosure Statement
Use $academic-research-suite: ars-disclosure
Paper stage: final draft before submission
AI tools used: Codex for literature search, outline generation, citation formatting
Human contribution: research design, analysis, interpretation, revision
Output: journal-ready disclosure statement
Revision Workflow
Revision Coach
For guidance without executing changes:
Use $academic-research-suite: ars-revision-coach
[attach draft.md and reviewer_comments.txt]
Analyze reviewer feedback and suggest revision strategy.
Prioritize major vs minor revisions.
Do not rewrite yet - provide plan only.
Execute Revisions
Use $academic-research-suite: ars-revision
[attach draft.md and reviewer_comments.txt]
Execute revisions based on Reviewer 2 methodology concerns.
Track changes: show original -> revised for each section.
Update Material Passport with revision metadata.
Troubleshooting
Skill Not Found
If /skills doesn't show academic-research-suite:
1. Verify installation path: ls -la "$HOME/.codex/skills/academic-research-suite"
2. Reinstall using update command above
3. Open a new Codex conversation (old sessions cache skills)
Multiple ARS Skills Showing
If you see academic-paper, deep-research, etc. as separate skills:
# Remove all ARS skills
rm -rf "$HOME/.codex/skills/academic-"*
rm -rf "$HOME/.codex/skills/deep-research"
rm -rf "$HOME/.codex/skills/experiment-agent"
# Reinstall single suite
python "$HOME/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py" \
--repo Imbad0202/academic-research-skills-codex \
--ref main \
--path skills/academic-research-suite \
--method git
Wrong Workflow Selected
If ARS routes to the wrong workflow, be more explicit:
Use $academic-research-suite deep-research workflow in socratic mode.
[your request]
Or use specific alias:
Use $academic-research-suite: ars-outline
[your request]
Citation Verification Fails
When citations cannot be verified:
- ARS should mark them as unverified rather than inventing support
- If verification is critical, provide DOIs or URLs for sources
- Use
ars-citation-checkmode with source files attached
Codex Warnings
These warnings are non-blocking:
[features].codex_hooks is deprecated- update Codex config when convenienthooks need review before they can run- ARS Codex doesn't require hooks for normal use
Advanced Patterns
Staged Pipeline with Checkpoints
Use $academic-research-suite academic-pipeline workflow.
Stage 0: Intake and dashboard
STOP and show dashboard for approval
[After approval]
Stage 1: Research question refinement via Socratic dialogue
STOP and show refined question
[Continue stage by stage]
Parallel Literature Search
Use $academic-research-suite deep-research workflow.
Search strategy: parallel tracks
Track 1: Scopus, Web of Science - quantitative studies
Track 2: Google Scholar - grey literature, policy docs
Track 3: Specialized databases - ERIC, ProQuest Education
Synthesize results into single literature matrix.
Multi-Pass Review
Use $academic-research-suite academic-paper-reviewer workflow.
Pass 1: Structure and contribution (desk-reject check)
[Wait for my review]
Pass 2: Methodology rigor
[Wait for my review]
Pass 3: Citation integrity and ethics
[Final decision]
Integration with Research Tools
With Reference Managers
Use $academic-research-suite: ars-citation-check
Citation library: Zotero export attached (bibtex format)
Paper: [attach draft.md]
Cross-check all in-text citations against Zotero library.
Flag missing entries and formatting errors.
With Data Analysis Code
Use $academic-research-suite experiment-agent workflow.
Existing analysis: [attach analysis.py, results.csv]
Task: Create reproducible experiment protocol around this analysis
Output: protocol.md, requirements.txt, reproduction checklist
With Institutional Templates
Use $academic-research-suite: ars-format-convert
Input: [attach paper.md]
Template: University PhD thesis LaTeX template [attach template.tex]
Preserve: custom environments for theorems, university citation style
CLI Smoke Test
Test routing without full execution:
codex exec --ephemeral --sandbox read-only \
-C /path/to/academic-research-skills-codex \
'Use $academic-research-suite. Router smoke test only. Classify workflow and mode for: I want to write a paper on AI adoption but do not have a research question yet.'
Expected: Route to deep-research socratic mode.
Key Differences from Claude Code Version
This Codex package differs from the original Claude Code ARS:
| Feature | Claude Code | Codex Package |
|---------|-------------|---------------|
| Installation | Plugin marketplace | Git-based skill installer |
| Commands | Native /ars-* slash commands | Emulated aliases via router |
| Agent teams | Automatic background agents | Inline unless explicitly delegated |
| Hooks | SessionStart, SubagentStop | Vendored for traceability only |
| Cross-model review | GPT/Gemini secondary dispatch | Anthropic Claude API (explicit config) |
| Updates | Marketplace auto-update | Manual reinstall |
Version Information
- Codex Package Version: v0.1.6
- Vendored ARS Commit:
1d0c8625207c9cd8fc46132b1ef930f2cc012236 - License: CC BY-NC 4.0 (non-commercial use)
- Original Repository: https://github.com/Imbad0202/academic-research-skills
Additional Resources
- Codex Setup Guide:
skills/academic-research-suite/ars/docs/SETUP.md - Architecture Details:
skills/academic-research-suite/ars/docs/ARCHITECTURE.md - Claude Code Version: https://github.com/Imbad0202/academic-research-skills
For issues specific to the Codex packaging, open an issue at the Codex package repository. For ARS workflow issues, consult the original Claude Code repository.
常見問題
academic-research-skills-codex 技能有什麼用途?
自動化學術研究:文獻綜述、論文寫作、同行評審和完整的研討會。
如何安裝 academic-research-skills-codex?
打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。
academic-research-skills-codex 適用哪些 AI 模型?
技能是純 Markdown 指示(Agent Skills 格式),因此 academic-research-skills-codex 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。
academic-research-skills-codex 是免費的嗎?
此技能由 Aradotso 公開發布。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。儲存庫未標示授權 — 商業使用前請向作者確認條款。
安裝技能安全嗎?
技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。
技能和 MCP 伺服器或外掛有何不同?
MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。