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literature-review-cn文献综述中国

Agent Skill

literature-review-cn 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

总安装

1,999

周安装

85

GitHub Stars

公开资料未说明

下载量

306
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:literature-review-cn(文献综述中国)
来源仓库:https://github.com/jirboy/literature-review-cn
安装命令:
openclaw skills install literature-review-cn
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install literature-review-cn

简介

literature-review-cn 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

  • 通过 Semantic Scholar、OpenAlex、Crossref 和 PubMed API 搜索学术资源,协助撰写文献综述。
  • 通过安装命令 openclaw skills install literature-review-cn 集成到 OpenClaw 宿主环境。
  • 使用前需确认权限范围、维护状态及是否涉及联网、命令执行或文件读写。
  • 建议结合来源仓库和原始 README 进一步核验具体用法和功能边界。

SKILL.md

name
literature-review
version
1.2.0
description
Assistance with writing literature reviews by searching for academic sources via Semantic Scholar, OpenAlex, Crossref and PubMed APIs. Use when the user needs to find papers on a topic, get details for specific DOIs, or draft sections of a literature review with proper citations.

Literature Review

Help write academic literature reviews using a multi-engine search integration (S2, OA, CR, PM).

Capabilities

  • Multi-Source Search: Find relevant academic papers using Semantic Scholar (S2), OpenAlex (OA), Crossref (CR), and PubMed (PM).
  • Full Abstracts: All sources now return complete abstracts (PubMed uses efetch for full XML records).
  • DOI Extraction: DOIs are extracted from all sources for cross-referencing and deduplication.
  • Automatic Deduplication: When searching multiple sources (--source all or --source both), results are automatically deduplicated by DOI.
  • Polite Access: Automatic email identification for OpenAlex/Crossref "Polite Pool" (via USER_EMAIL env var).
  • Abstract Reconstruction: Reconstructs abstracts from OpenAlex inverted index format.
  • Synthesis: Group papers by theme and draft review sections based on metadata.

Environment Variables

VariablePurposeDefault
USER_EMAILEmail for polite API accessanonymous@example.org
CLAWDBOT_EMAILFallback if USER_EMAIL not set
SEMANTIC_SCHOLAR_API_KEYOptional S2 API key for higher rate limits
OPENALEX_API_KEYOptional OpenAlex API key

Workflows

1. Broad Search (All Bases)

Get a comprehensive overview from all major academic databases. Results are automatically deduplicated by DOI.

python3 scripts/lit_search.py search "impact of glycyrrhiza on bifidobacterium" --limit 5 --source all

2. Targeted Search

  • OpenAlex (oa): Fast and comprehensive, good abstracts.
  • Semantic Scholar (s2): High-quality citation data and TL;DRs.
  • Crossref (cr): Precise DOI-based metadata (no abstracts).
  • PubMed (pm): Gold standard for biomedical research, full abstracts and PMIDs.
python3 scripts/lit_search.py search "prebiotic effects of liquorice" --source pm

3. Comparing Sources

Search both S2 and OA simultaneously to ensure nothing is missed. Deduplicated by default.

python3 scripts/lit_search.py search "Bifidobacterium infantis growth" --source both

4. Getting Full Details (S2)

Retrieve detailed metadata including TL;DR summaries.

python3 scripts/lit_search.py details "DOI:10.1016/j.foodchem.2023.136000"

5. Writing the Review

  1. Extract: Pull key findings from the abstracts found.
  2. Organize: Group findings into a logical structure (e.g., chronological or thematic).
  3. Draft: Use the "Think step-by-step" approach to synthesize multiple sources into a coherent narrative.

Output Format

Each result includes:

  • id: Source-specific identifier (PMID for PubMed, OpenAlex ID, S2 paper ID, DOI for Crossref)
  • doi: DOI when available (used for deduplication)
  • title: Paper title
  • year: Publication year
  • authors: List of author names
  • abstract: Full abstract text (when available)
  • venue: Journal or conference name
  • citationCount: Citation count (S2, OA)
  • source: Which database the result came from

Tips for Success

  • Citations: Always cross-reference the DOI or PMID for accuracy in bibliography.
  • Filtering: Focus on papers with higher citationCount or recent years for a more modern review.
  • PubMed for Medicine: Use --source pm for the most reliable biomedical literature.
  • Deduplication: Multi-source searches automatically remove duplicates; use single sources if you need raw counts.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

96.01%
按下载量换算294

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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