literature-review-writer

literature-review-writer is a skill for Claude Code, Codex from yipng05-max/-skills. It costs 180 tokens per session (1,972 once invoked), scanned A, original, MIT.

A tool that finds real academic sources and writes a literature review, the section of a research paper that connects and evaluates earlier studies. It organizes the review around the research topic, identifies gaps, verifies references, and produces a Word document.

In plain words
What is it for?
Use it when you need an English-language or Chinese-language research literature review based on a topic, research question, or target journal style.
Why use it?
It helps avoid scattered searching, unsupported claims, and made-up or incorrect references when building the background for a study.

Skill for Claude CodeCodex

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

Good fit Use it when you need an English-language or Chinese-language research literature review based on a topic, research question, or target journal style.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yipng05-max/-skills/literature-review-writer
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 yipng05-max/-skills --skill literature-review-writer
Clone the repo
git clone --depth 1 https://github.com/yipng05-max/-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 literature-review-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/yipng05-max/-skills/literature-review-writer/github.svg)](https://agentmods.dev/skills/yipng05-max/-skills/literature-review-writer)
Your own site
<a href="https://agentmods.dev/skills/yipng05-max/-skills/literature-review-writer"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/literature-review-writer/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 literature-review-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/yipng05-max/-skills/literature-review-writer"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/literature-review-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 180 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,972 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 $0.00180 $0.01972
Opus 5 $0.00090 $0.00986
Sonnet 5 $0.00036 $0.00394
Haiku 4.5 $0.00018 $0.00197

Measured 13d ago against content hash 51c737428802, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

literature-review-writer 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 13d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate_docx.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

literature-review-writer/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

顶刊文献综述写作工具

核心定位

为用户提供的研究选题撰写符合顶级期刊标准的文献综述(Literature Review)部分。 区别于博士论文文献综述的百科全书式覆盖,顶刊文献综述以精炼、论证驱动、战略性选文为核心特征。

工作流程

撰写文献综述涉及以下步骤:

  1. 解析研究选题,拆解核心构念与变量关系
  2. 检索真实文献(WebSearch)
  3. 核实文献真实性(参照 references/verification-guide.md)
  4. 确定综述结构(参照 references/structure-patterns.md)
  5. 撰写综述正文(参照 references/writing-techniques.md)
  6. 输出完整文献综述及参考文献列表(对话输出 + 生成 Word 文档)

步骤1:解析研究选题

从用户提供的研究选题中识别:

  • 核心自变量(IV)因变量(DV)
  • 可能的中介变量(Mediator)调节变量(Moderator)
  • 研究所在的学科领域与子领域
  • 可能适用的理论框架

将选题拆解为3-5个需要综述的主题模块。

步骤2:检索真实文献

用 WebSearch 系统性搜索每个主题模块的文献。搜索策略:

必须执行的搜索

  • 每个核心构念:"[构念]" site:scholar.google.com"[构念]" review meta-analysis
  • 核心变量关系:"[IV]" "[DV]" empirical study
  • 理论基础:"[理论名]" "[研究领域]"
  • 顶刊定向搜索:"[核心概念]" site:journals.sagepub.com OR site:onlinelibrary.wiley.com OR site:sciencedirect.com

文献筛选优先级

  1. 近5年顶刊实证研究(最重要)
  2. 领域奠基性文献(seminal works,不论年份)
  3. 近期meta-analysis或系统综述
  4. 高引用经典理论文献

文献数量目标:为每个主题模块找到5-10条高质量文献,总量控制在25-50条。

步骤3:核实文献真实性

这是强制步骤,不可跳过。必须在撰写综述正文之前完成。

调用 literature-verifier skill,将步骤2中检索到的所有拟引用文献提交核查。该 skill 能够:

  • 交叉校验作者、标题、期刊、年份等元数据
  • 检测AI幻觉生成的虚假文献
  • 覆盖中英文数据库(Google Scholar、CNKI、万方、维普等)
  • 验证DOI有效性

核查规则:

  • 所有拟引用文献必须经过 literature-verifier 核查通过后方可使用
  • 核查未通过的文献立即移除,绝不引用
  • 若移除后某主题模块文献不足,返回步骤2补充检索并再次核查

步骤4:确定综述结构

阅读 references/structure-patterns.md 选择合适的结构。

默认使用漏斗型结构(除非研究选题明确适合其他结构):

第一层:宏观领域定位(1段)
第二层:核心构念的文献脉络(2-4段,按主题组织)
第三层:变量间关系的研究现状(1-3段)
第四层:研究空白与本文定位(1段)

步骤5:撰写综述正文

阅读 references/writing-techniques.md 获取写作技法指导。

写作铁律

  1. 主题式综合,非逐篇罗列:每段围绕一个论点,综合多项研究支撑
  2. 每段必须有明确的论证功能:不写无目的的段落
  3. 段落间用逻辑衔接句串联:体现递进、转折或聚焦关系
  4. 批判性评价嵌入论证:指出方法、理论或实证覆盖上的局限
  5. 文献脉络清晰可见:呈现研究的演进趋势(开创→发展→前沿→空白)
  6. 以研究空白收束:明确指出gap,自然引出本文研究的必要性

引用格式:默认使用APA第7版。若用户指定其他格式,从之。

语言

  • 若用户用中文提供选题,用英文撰写综述(顶刊标准),除非用户明确要求中文
  • 行文学术、精炼,避免口语化表达

步骤6:输出格式

6a:对话输出

在对话中直接输出以下内容:

## Literature Review

[完整的文献综述正文,含嵌入式引用]

## References

[按APA 7th或用户指定格式列出所有引用文献的完整信息]

Read the full file on GitHub · 173 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. 13d ago First seen · 173 lines · 180 tokens per session scan A 51c737428802

Subscribe to this mod's changes

literature-review-writer is a skill published in the GitHub repository yipng05-max/-skills (286 stars, last pushed 5mo ago), licensed MIT. It adds 180 tokens to every session and 1,972 once invoked, about $0.0009 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 2026-08-30.

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

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 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