academic-literature-review

academic-literature-review is a skill for Claude Code, Codex from hirogoing/gradio-mini-agent. It costs 62 tokens per session (1,974 once invoked), scanned A, original, Apache-2.0.

An academic literature-review writing assistant for Chinese core-journal, SCI, and SSCI papers. It covers finding, selecting, analysing, organising, and polishing research sources.

In plain words
What is it for?
Use it to build search terms, set source-selection criteria, plan a chronological, thematic, or methods-based review, and improve the wording of the draft.
Why use it?
It helps turn a broad research topic and scattered sources into a structured review. It also reduces the work of planning searches, judging sources, and choosing a suitable review structure.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build search terms, set source-selection criteria, plan a chronological, thematic, or methods-based review, and improve the wording of the draft.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hirogoing/gradio-mini-agent/academic-literature-review
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 hirogoing/gradio-mini-agent --skill academic-literature-review
Clone the repo
git clone --depth 1 https://github.com/hirogoing/gradio-mini-agent

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 academic-literature-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/hirogoing/gradio-mini-agent/academic-literature-review/github.svg)](https://agentmods.dev/skills/hirogoing/gradio-mini-agent/academic-literature-review)
Your own site
<a href="https://agentmods.dev/skills/hirogoing/gradio-mini-agent/academic-literature-review"><img src="https://agentmods.dev/badge/skills/hirogoing/gradio-mini-agent/academic-literature-review/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 academic-literature-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/hirogoing/gradio-mini-agent/academic-literature-review"><img src="https://agentmods.dev/badge/skills/hirogoing/gradio-mini-agent/academic-literature-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,974 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 $0.00062 $0.01974
Opus 5 $0.00031 $0.00987
Sonnet 5 $0.00012 $0.00395
Haiku 4.5 $0.00006 $0.00197

Measured 11d ago against content hash 64dc35dbb849, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

academic-literature-review 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.

skills-chat/skills/custom/academic-literature-review/SKILL.md · 226 lines

How it starts

The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.

学术文献综述写作助手

概述

本技能帮助研究人员撰写高质量的学术文献综述,专注于中文核心期刊、SCI、SSCI等学术论文中的文献综述部分。涵盖文献检索、筛选、分析、写作全流程。

核心工作流程

1. 课题分析与主题确定

在开始文献综述前,明确以下要素:

  • 研究主题:你的研究问题是什么
  • 研究领域:所属学科及细分方向
  • 目标期刊:准备投稿的期刊(中文核心/CSSCI/SCI/SSCI)
  • 时间范围:近5年?近10年?还是更有历史跨度
  • 文献类型:仅期刊论文?是否包含专著、会议论文、学位论文

2. 文献检索策略

文献检索渠道:
├── 中文数据库
│   ├── CNKI(中国知网)
│   ├── 万方数据
│   └── 维普网
├── 外文数据库
│   ├── Web of Science
│   ├── Scopus
│   ├── PubMed
│   └── Google Scholar
└── 其他资源
    ├── 导师/同行推荐
    ├── 参考文献追溯
    └── 预印本平台

检索词构建

  • 核心关键词(中英文)
  • 同义词、近义词
  • 上位词、下位词
  • 布尔逻辑组合(AND/OR/NOT)

3. 文献筛选与管理

筛选标准

  • 相关性:与研究问题直接相关
  • 权威性:核心期刊、高被引、知名作者
  • 时效性:近期研究为主,经典文献为辅
  • 质量:研究方法规范、数据可靠

文献管理工具

  • EndNote
  • Zotero
  • Mendeley
  • NoteExpress

4. 文献综述结构框架

4.1 经典结构:年代主题式
└── 引言
    └── 研究背景与意义
└── 主体部分
    ├── 早期研究(年份区间)
    │   └── 主要发现与理论
    ├── 中期发展(年份区间)
    │   └── 研究进展与争论
    └── 近期趋势(年份区间)
        └── 最新研究方向
└── 总结与评述
    └── 研究空白与本研究定位
4.2 主题式结构
└── 引言
└── 主体部分
    ├── 主题一:理论框架
    │   ├── 观点A
    │   └── 观点B
    ├── 主题二:实证研究
    │   ├── 研究方法
    │   └── 研究结论
    └── 主题三:争议与分歧
        └── 各方观点对比
└── 研究空白
4.3 方法论式结构
└── 主体部分
    ├── 定量研究文献综述
    ├── 定性研究文献综述
    └── 混合研究文献综述
4.4 国内/国外对比式
└── 主体部分
    ├── 国内研究现状
    │   ├── 理论视角
    │   └── 实证发现
    └── 国外研究现状
        ├── 理论视角
        └── 实证发现

5. 写作规范

5.1 语言要求
要素 要求
措辞 学术严谨,避免口语化
时态 过去时描述已完成研究,现在时描述客观事实
人称 客观第三人称为主
语气 谨慎保守,避免绝对化表述
5.2 常见表达句式

引出文献

  • "XX(年份)研究表明……"
  • "已有学者(XX, 年份)指出……"
  • "在XX领域,众多学者(XX, 年份;XX, 年份)进行了深入研究……"

综合评述

  • "综合来看,现有研究在……方面取得了重要进展"
  • "然而,在……问题上仍存在争议/研究不足"

指出研究空白

  • "尽管如此,关于……的研究仍较为匮乏"
  • "现有研究主要关注……,而对……的关注相对不足"
5.3 避免的问题
  • ❌ 简单罗列文献(流水账式)
  • ❌ 缺乏批判性分析
  • ❌ 文献堆砌,缺乏逻辑主线
  • ❌ 遗漏重要文献
  • ❌ 引用来源不准确

6. 常见问题诊断

问题症状 可能原因 解决方案
文献堆砌,没有主线 缺乏理论框架 引入理论视角组织文献
前后重复,内容冗余 分类不清 按主题/维度重新组织
只综不述,缺乏深度 分析深度不足 增加批判性评价
文献陈旧 检索策略有误 补充近2-3年文献
与研究问题脱节 主题聚焦不够 明确研究问题再筛选

Read the full file on GitHub · 226 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 226 lines · 62 tokens per session scan A 64dc35dbb849

Subscribe to this mod's changes

academic-literature-review is a skill published in the GitHub repository hirogoing/gradio-mini-agent (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 62 tokens to every session and 1,974 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens