M2 文献管理(IMRAD 中的 Related Work + References)。消费 M1 沉淀的 search-.jsonl,做精读、引用网络分析、bibkey 整理、四类标签(基础/方法/ baseline/相关)、引用密度审计、BibTeX 格式规范化,产出 manifest.jsonl + ref-.md 笔记卡 + 引用校验报告,供 M3 baseline / M5 论证链…

No licenceAuto-check: notesResearch & Science

Install M2 Literature

skills CLI
$ npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m2-literature -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install larbare12/paperfactory-from-idea-to-manuscript m2-literature --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/larbare12/paperfactory-from-idea-to-manuscript.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/m2-literature .claude/skills/m2-literature && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
m2-literature
GitHub stars
116
Token cost
~1.8k tokens
SKILL.md length
427 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
None found

At a glance

M2 文献管理(IMRAD 中的 Related Work + References)。消费 M1 沉淀的 search-.jsonl,做精读、引用网络分析、bibkey 整理、四类标签(基础/方法/ baseline/相关)、引用密度审计、BibTeX 格式规范化,产出 manifest.jsonl + ref-.md 笔记卡 + 引用校验报告,供 M3 baseline / M5 论证链…

  • Works in 8 steps: 确认 M1 已完成三段式工作流 → 精读 + 四类标签 → 引用网络分析(可选,综述章节有价值) → …
  • Tasks that involve Citation management
  • SKILL.md covers 工具依赖(必读), 流程位置, 输入 and 输出, plus 5 more sections
  • Calls bash and jq

What it does

M2 Literature is an agent skill from larbare12/paperfactory-from-idea-to-manuscript. M2 文献管理(IMRAD 中的 Related Work + References)。消费 M1 沉淀的 search-.jsonl,做精读、引用网络分析、bibkey 整理、四类标签(基础/方法/ baseline/相关)、引用密度审计、BibTeX 格式规范化,产出 manifest.jsonl + ref-.md 笔记卡 + 引用校验报告,供 M3 baseline / M5 论证链 / M6 写作消费。 任何"扩写 related work""整理 baseline 论文""投稿前 .bib 审计" "找方法论文""引用密度排查"场景调用本 skill。

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Citation management and Literature review. It works with LaTeX. The repository describes itself as: 能够实现:人提供idea,agent自动帮你生成论文.

When your agent uses it

  • Tasks that involve Citation management
  • Tasks that involve Literature review

Example prompts

  • “扩写 related work”
  • “整理 baseline 论文”
  • “投稿前 .bib 审计”
  • “/m2-literature”

Requirements

  • Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Grep, Glob

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. 确认 M1 已完成三段式工作流
  2. 精读 + 四类标签
  3. 引用网络分析(可选,综述章节有价值)
  4. 引用密度检查(给 M6 留 hook)
  5. BibTeX 规范化
  6. 缺口识别 → 回 M1 补检索
  7. 引用真实性校验(强制门控)
  8. 生成最终 manifest 渲染

What it can do on your machine

Read from SKILL.md and the folder at commit 869103c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • Edit
    • Grep
    • Glob

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • bash
    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

M2 Literature loads about 1.8k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 427 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, Edit, Grep, Glob

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 427 words (~1,775 tokens).

“本 skill 不实现检索/验证/venue 评估 —— 一律委托给 citation-search:”

— opening of SKILL.md by larbare12
name
m2-literature
allowed-tools
Bash, Read, Write, Edit, Grep, Glob

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/m2-literature of larbare12/paperfactory-from-idea-to-manuscript.

Open the folder on GitHubat commit 869103c

Compare with similar skills

M2 Literature next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

M2 Literature compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
M2 Literature this skilllarbare12/paperfactory-from-idea-to-manuscript116—~1.8kAutomated safety check: NotesNone
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Literature Review AgentAr9av/PaperOrchestra6791 repos~5.2kAutomated safety check: PassCustom licence
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0
Arxiv Paper Writerappautomaton/latex-arxiv-SKILL458—~2.3kAutomated safety check: PassMIT
Arxiv Paper Writeryunshenwuchuxun/latex-paper-skills267—~3.2kAutomated safety check: PassMIT

Similar skills

  • Academic Paper Writing Pipeline

    Imbad0202/academic-research-skills

    Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.

    51k GitHub stars~16k tokensUpdated today
    Research & ScienceAuto-check passed
  • Literature Review Agent

    Ar9av/PaperOrchestra

    Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.

    679 GitHub starsUsed in 1 repo~5.2k tokens
    Research & ScienceAuto-check passed
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    blazickjp/arxiv-mcp-server

    A skill your agent uses when finding, comparing, reading, or monitoring arXiv papers, including requests for abstracts, citation graphs, original LaTeX, section-level technical details, or…

    3.2k GitHub stars~353 tokensUpdated 2 days ago
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    appautomaton/latex-arxiv-SKILL

    Write LaTeX ML/AI review articles for arXiv using the IEEEtran template and verified BibTeX citations.

    458 GitHub stars~2.3k tokensUpdated 27 days ago
    Research & ScienceAuto-check passed
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More from larbare12/paperfactory-from-idea-to-manuscript

All 9 skills in this repo
  • Citation Search

    larbare12/paperfactory-from-idea-to-manuscript

    学术文献检索与质量验证。覆盖 Semantic Scholar / CrossRef / arXiv / OpenAlex 四源,内置 Tier 0 反幻觉校验(DOI 反查 + Levenshtein ≥ 0.70) 和 venue quality 过滤(CCF + JCR 影响因子,arXiv 引用阈值)。任何需要 查文献、验证引用真实性、评估期刊/会议质量、生成…

    116 GitHub stars~1.9k tokensUpdated 4 mo ago
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  • M0 Dashboard

    larbare12/paperfactory-from-idea-to-manuscript

    M0 项目仪表盘——流程外的常驻横切模块,不属于线性步骤。任何时点 扫描 relate-work/ + draft/ 输出三态报表:已完成 / 待回填(NEEDS-EVIDENCE / TODO / 未读论文)/ 阻塞。M1-M7 任何阶段都可以调用 M0 看状态。/paper- assistant:init 命令首次扫描就是它。M0 只读不写,不动 manifest 也不动 draft。

    116 GitHub stars~809 tokensUpdated 4 mo ago
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  • M1 Topic

    larbare12/paperfactory-from-idea-to-manuscript

    M1 选题诊断——数据驱动的研究 idea 可行性 / 创新性 / 领域契合度评估. An agent skill from larbare12/paperfactory-from-idea-to-manuscript.

    116 GitHub stars~1.2k tokensUpdated 4 mo ago
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  • M3 Experiment

    larbare12/paperfactory-from-idea-to-manuscript

    M3 实验设计——方案检查、指标选择、对比方法、消融、显著性、误差分析. An agent skill from larbare12/paperfactory-from-idea-to-manuscript.

    116 GitHub stars~1.2k tokensUpdated 4 mo ago
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  • M4 Structure

    larbare12/paperfactory-from-idea-to-manuscript

    M4 结构规划——生成 IMRAD 大纲、章节边界、篇幅分配、写作顺序。只管 骨架,不管论证逻辑(论证主线归 m5-argument)。消费 M3 实验结果概要 和 M1 选题定位,产出 outline 写入 passport,供 M5/M6 按章节展开。

    116 GitHub stars~952 tokensUpdated 4 mo ago
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  • M6 Writing

    larbare12/paperfactory-from-idea-to-manuscript

    M6 写作辅助——按 M5 论证骨架展开正文,按 M4 章节边界控制内容. An agent skill from larbare12/paperfactory-from-idea-to-manuscript.

    116 GitHub stars~2.3k tokensUpdated 4 mo ago
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Works with

Questions about M2 Literature

What does M2 Literature do?

M2 文献管理(IMRAD 中的 Related Work + References)。消费 M1 沉淀的 search-.jsonl,做精读、引用网络分析、bibkey 整理、四类标签(基础/方法/ baseline/相关)、引用密度审计、BibTeX 格式规范化,产出 manifest.jsonl + ref-.md 笔记卡 + 引用校验报告,供 M3 baseline / M5 论证链…. M2 Literature is an agent skill from larbare12/paperfactory-from-idea-to-manuscript.

When should I use M2 Literature?

M2 Literature fits situations like: tasks that involve Citation management; tasks that involve Literature review.

How do I install M2 Literature in Claude Code?

Run `npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m2-literature -a claude-code`. Or copy the skill folder (skills/m2-literature in larbare12/paperfactory-from-idea-to-manuscript) into .claude/skills/m2-literature in your project. Claude Code loads it when a task matches its description.

How do I install M2 Literature in Codex?

Run `npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m2-literature -a codex`. Or copy the skill folder (skills/m2-literature in larbare12/paperfactory-from-idea-to-manuscript) into .agents/skills/m2-literature in your project. Codex loads it when a task matches its description.

Can I use M2 Literature in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add larbare12/paperfactory-from-idea-to-manuscript --skill m2-literature -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/m2-literature, .gemini/skills/m2-literature, .github/skills/m2-literature and .opencode/skills/m2-literature in your project.

What does M2 Literature need to run?

Going by SKILL.md and its folder, M2 Literature needs the command-line tools its instructions call (bash and jq). Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Grep, Glob.

Does M2 Literature access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is M2 Literature safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does M2 Literature use?

No licence was found for M2 Literature or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does M2 Literature use?

About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to M2 Literature?

Skills that share tags, products or a category with M2 Literature: Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Literature Review Agent (Ar9av/PaperOrchestra, 679 stars), Arxiv MCP Server (blazickjp/arxiv-mcp-server, 3.2k stars) and Arxiv Paper Writer (appautomaton/latex-arxiv-SKILL, 458 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains M2 Literature?

larbare12 (a GitHub user) maintains it in larbare12/paperfactory-from-idea-to-manuscript, which has 116 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on May 19, 2026.

Source: larbare12/paperfactory-from-idea-to-manuscript on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.