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Agent Skill · 研究检索

ppw%3aliterature(ppw%3 文学)

ppw%3aliterature 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

ppw%3aliterature 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 58,406。

总安装 416周安装 17GitHub Stars 280下载 133核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ppw%3aliterature(ppw%3 文学)
来源仓库:https://github.com/lylll9436/paper-polish-workflow-skill
仓库路径:skills/ppw%3Aliterature
安装命令:
npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill ppw:literature
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill ppw:literature

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

ppw%3aliterature 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。适用于研究检索类任务,专注于文献资料的查找与整理。

可通过 npx skills add 命令从指定 GitHub 仓库安装并使用。安装前建议确认权限范围和维护状态,避免触发联网或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/ppw%3Aliterature

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ppw%3aliterature 怎么安装?

在终端执行 npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill ppw:litera…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ppw%3aliterature 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ppw%3aliterature 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

ppw%3aliterature 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

ppw%3aliterature 用的人多吗?

公开数据是累计安装 416 次,近一周安装 17 次,下载 133 次,GitHub 280 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ppw%3aliterature 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ppw%3aliterature

ppw%3 文学 · 本页

416280调用外部服务未明确未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Purpose

This Skill searches academic literature using the Semantic Scholar MCP, presents an interactive numbered result list (up to 10 papers), waits for the user to select a specific paper, then generates a verified BibTeX entry built exclusively from MCP-returned data. Before any workflow begins, a pre-flight probe confirms MCP availability — if unavailable, the Skill refuses immediately with setup instructions rather than proceeding with degraded capability. After the user selects a paper, a mandatory anti-hallucination verification prompt reminds the user to confirm the paper's actual relevance before committing the citation. This Skill does not write or rewrite paper content; it searches, selects, and generates citation entries only.

Trigger

Activates when the user asks to:

  • Search or find academic papers on a topic
  • Generate BibTeX or citation entries for a reference
  • 帮我找文献、检索相关论文、帮我生成引用格式

Example invocations:

  • "Find papers about urban heat island" / "帮我找关于城市热岛的文献"
  • "Search literature for spatiotemporal analysis" / "检索时空分析相关文献"
  • "Generate BibTeX for a citation" / "帮我生成BibTeX引用格式"

Modes

ModeDefaultBehavior
directYesSingle-shot search → result list → user selects → BibTeX generated; no iteration
batchNot supported — each search requires user selection in session

Default mode: direct. Search is single-shot: if results are unsatisfactory, user re-triggers the Skill with different keywords.

References

Required (always loaded)

None. This is a search task — no expression pattern files needed.

Leaf Hints

None.

No reference files loaded. All paper metadata sourced from Semantic Scholar MCP at runtime.

Ask Strategy

The Skill collects search inputs conversationally. At most two questions:

  1. Search query (required): the topic or keyword to search — ask only if not provided in the trigger message.
  2. Result count (optional): how many results to display. Default: 5. Maximum: 10.

If the user provides the topic in the trigger message, skip question 1 and proceed immediately.

Workflow

Step 0: Workflow Memory Check

  • Read .planning/workflow-memory.json. If file missing or empty, skip to Step 1.
  • Check if the last 1-2 log entries form a recognized pattern with ppw:literature that has appeared >= threshold times in the log. See skill-conventions.md > Workflow Memory > Pattern Detection for the full algorithm.
  • If a pattern is found, present recommendation via AskUserQuestion:

- Question: "检测到常用流程:[pattern](已出现 N 次)。是否直接以 direct 模式运行 ppw:literature?" - Options: "Yes, proceed" / "No, continue normally"

  • If user accepts: set mode to direct, skip Ask Strategy questions.
  • If user declines or AskUserQuestion unavailable: continue in normal mode.

Step 1: MCP Pre-flight Check

  1. Call mcp__semantic-scholar__papers-search-basic with {"query": "test", "limit": 1}.
  2. If the call succeeds: proceed to Step 2.
  3. If the call fails or tool is unavailable: refuse immediately with: "Semantic Scholar MCP is not available. To use this Skill: Open Claude Code Settings → MCP Servers Add the Semantic Scholar server (server key: semanticscholar) Restart Claude Code and retry" Do NOT proceed past this point if MCP is unavailable.

Step 2: Collect Search Query

  1. Extract the search topic from the trigger message if present.
  2. If topic not provided, ask: "What topic or keywords should I search for?"
  3. Confirm result count (default: 5).
  • Record workflow: Append {"skill": "ppw:literature", "ts": "<ISO timestamp>"} to .planning/workflow-memory.json. Create file as [] if missing. Drop oldest entry if log length >= 50.

Step 3: Execute Search and Build Result Cards

  1. Call mcp__semantic-scholar__papers-search-basic with the user's query and result count.
  2. For each returned paper: if the abstract field is empty in the search result, call mcp__semantic-scholar__get-paper-abstract to fetch an abstract excerpt.
  3. Display numbered result cards in this exact format: **[1] Title of the Paper** Authors: Smith, J.; Lee, K. · Year: 2023 · Citations: 142 > "One sentence from abstract describing the core contribution..." **[2] Another Relevant Paper** Authors: Zhang, W. · Year: 2022 · Citations: 89 > "Abstract not available"
  4. End the display with: "Please select a paper (enter number), or type 'none' to cancel."

Step 4: User Selection

  1. Wait for the user to enter a number or "none".
  2. If "none": respond "Search cancelled." and end the session.
  3. If out-of-range number: ask the user to re-enter a valid number from the displayed list.
  4. If valid number: confirm the selection by restating the paper title.
  5. Display the mandatory verification prompt (never omit): "Please confirm that the selected paper actually supports the claim you are citing — do not rely solely on the title."

Step 5: Generate BibTeX

  1. Construct the BibTeX entry using only fields returned by the MCP for the selected paper.
  2. Citation key format: firstAuthorLastnameLowercaseYYYYfirstKeyword (e.g., smith2023urban).
  3. Use @article for journal papers, @inproceedings for conference papers, @misc for preprints — follow the paper type returned by MCP.
  4. If any field (volume, pages, DOI) is not returned by MCP, omit that field — never fill from prior knowledge.
  5. Display the BibTeX in a code fence: @article{smith2023urban, title = {Full title from MCP}, author = {Last, First and Last2, First2}, journal = {Journal name from MCP}, year = {2023}, volume = {101}, pages = {101943}, doi = {10.1016/j.compenvurbsys.2023.101943}}

Output Contract

OutputFormatCondition
bibtex_entryBibTeX code block (@article, @inproceedings, or @misc)After user selects a paper
All field values must come from the MCP-returned paper record. Never supply missing fields from prior knowledge — omit them instead.

Example BibTeX (all fields from MCP data):

@article{li2022spatiotemporal,
  title  = {Spatiotemporal Analysis of Urban Land Use Change},
  author = {Li, Wei and Wang, Fang},
  journal = {Computers, Environment and Urban Systems},
  year   = {2022},
  volume = {95},
  pages  = {101812},
  doi    = {10.1016/j.compenvurbsys.2022.101812}
}

Edge Cases

SituationHandling
MCP pre-flight failsRefuse with exact setup instructions from Step 1; never proceed to search
Search returns zero results"No papers found for '[query]'. Try broader keywords or re-trigger with different terms."
Abstract field missing for a resultShow "Abstract not available" in result card; do not skip the paper
User selects out-of-range numberAsk to re-enter a valid number from the displayed list
User types "none""Search cancelled." — end session
MCP returns non-article typeUse @inproceedings or @misc as appropriate; never force @article
DOI not returned by MCPOmit doi field; add comment: % DOI not available — please verify manually

Fallbacks

ScenarioFallback
Semantic Scholar MCP unavailableRefuse immediately with setup guidance (Step 1 handles this); no partial fallback mode
get-paper-abstract call fails for one paperMark abstract as "Abstract not available"; continue displaying remaining results
Structured Interaction unavailableAsk search query as plain-text question; proceed with numbered list in conversation
Basic search returns poor resultsInform user: "If results are poor, re-trigger the Skill with more specific keywords" (single-shot only)

Examples

User: "Find papers about urban heat island mitigation"

Skill: [Pre-flight check passes silently] → Calls mcp__semantic-scholar__papers-search-basic with {"query": "urban heat island mitigation", "limit": 5} → Displays results:

**[1] Urban Heat Island Mitigation through Green Infrastructure**
Authors: Smith, J.; Lee, K. · Year: 2023 · Citations: 142
> "This study evaluates green roof and tree-planting strategies for reducing UHI intensity in dense urban cores."

**[2] Cool Pavements and Their Effect on Urban Thermal Comfort**
Authors: Zhang, W.; Chen, L. · Year: 2022 · Citations: 89
> "A field experiment comparing reflective pavement materials across five climate zones."

Please select a paper (enter number), or type "none" to cancel.

User: "1"

Skill: "You selected: Urban Heat Island Mitigation through Green Infrastructure (Smith, J.; Lee, K., 2023)."

"Please confirm that the selected paper actually supports the claim you are citing — do not rely solely on the title."

Skill (after user confirms):

@article{smith2023urban,
  title   = {Urban Heat Island Mitigation through Green Infrastructure},
  author  = {Smith, John and Lee, Kwang-Ho},
  journal = {Computers, Environment and Urban Systems},
  year    = {2023},
  volume  = {101},
  pages   = {101943},
  doi     = {10.1016/j.compenvurbsys.2023.101943}
}

*Skill: literature-skill* *Conventions: references/skill-conventions.md*

平台分布

Codex

37.99%
按下载量换算51

Claude

27.7%
按下载量换算37

Cursor

17.87%
按下载量换算24

Gemini CLI

9.43%
按下载量换算13

安全审计

暂无安全审计结果可展示。

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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