using-academic-research

using-academic-research is a skill for Claude Code, Codex from yinqd3/workbuddy-skills. It costs 75 tokens per session (649 once invoked), scanned A, original, MIT.

A collection of skills for academic research, from finding and checking sources to writing papers and simulating peer review. It is adapted from a Claude Code workflow and includes support for research reports, citations, LaTeX, and DOCX output when local tools are available.

In plain words
What is it for?
Use it to explore topics, search and analyze literature, write and format papers, verify references, review drafts, and coordinate a full research pipeline.
Why use it?
It organizes a research project into repeatable stages and emphasizes checking citations, evidence, statistics, completeness, and writing quality.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Use it to explore topics, search and analyze literature, write and format papers, verify references, review drafts, and coordinate a full research pipeline.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yinqd3/workbuddy-skills/using-academic-research
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add yinqd3/workbuddy-skills --skill using-academic-research
Clone the repo
git clone --depth 1 https://github.com/yinqd3/workbuddy-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for using-academic-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/yinqd3/workbuddy-skills/using-academic-research/github.svg)](https://agentmods.dev/skills/yinqd3/workbuddy-skills/using-academic-research)
Your own site
<a href="https://agentmods.dev/skills/yinqd3/workbuddy-skills/using-academic-research"><img src="https://agentmods.dev/badge/skills/yinqd3/workbuddy-skills/using-academic-research/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for using-academic-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/yinqd3/workbuddy-skills/using-academic-research"><img src="https://agentmods.dev/badge/skills/yinqd3/workbuddy-skills/using-academic-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 649 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.00649
Opus 5 $0.00037 $0.00324
Sonnet 5 $0.00015 $0.00130
Haiku 4.5 $0.00007 $0.00065

Measured 11d ago against content hash f662564c026c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

using-academic-research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

academic-research/using-academic-research/SKILL.md · 42 lines

What it actually says

Academic Research Skills — WorkBuddy 版

基于 academic-research-skills(6.4k+ Stars)适配的学术研究技能集。

核心理念

AI 是副驾驶,不是驾驶员。 这套工具不会替你写论文。它处理苦力活——文献检索、引文格式化、数据验证、逻辑一致性检查——让你能专注于需要真正用脑的部分:定义问题、选择方法、解读数据、写出"我认为"之后那句话。

四技能管线

选题探索 → 深度文献调研 → 论文写作 → 同行评审 → 修回 → 发表
# 技能 子代理 模式 定位
1 deep-research 13 个 7 种 深度文献调研:选题→检索→分析→报告
2 academic-paper 12 个 10 种 论文写作:配置→写作→引文→格式化
3 academic-paper-reviewer 7 个 6 种 同行评审:多视角审查→编辑决策→修回路线图
4 academic-pipeline 4 个 10 阶段 全链路编排:调研→写作→审查→修改→定稿

四条原则

  1. 人机协同 — AI 做苦力,你定方向
  2. 每一步都可验证 — 完整性检查、反泄露协议、统计验证
  3. 质量优先于速度 — 风格校准、写作质量检查、同行评审模拟
  4. 引用真实性 — 100% 引文核验、Semantic Scholar API 验证

适配说明

原版为 Claude Code 设计,WorkBuddy 版适配:

  • 子代理调度:Claude Code Task → WorkBuddy Agent 工具
  • 文件操作:Claude Code → WorkBuddy Read/Write/Edit/Bash
  • 语言:繁体→简体中文适配,保留中英双语触发
  • 格式输出:LaTeX/DOCX → 依赖本地工具(Pandoc、tectonic 等)
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 42 lines · 75 tokens per session scan A f662564c026c

Subscribe to this mod's changes

using-academic-research is a skill published in the GitHub repository yinqd3/workbuddy-skills (6 stars, last pushed 3mo ago), licensed MIT. It adds 75 tokens to every session and 649 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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