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wos-literature-toolkit
by
GrizzlyCcc
· GitHub ↗
· v1.1.2
· MIT-0
98
Downloads
1
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install wos-literature-toolkit
Description
WOS 文献一站式工具：Web of Science 检索爬取 + PDF 批量下载，全部在同一个 Web 界面完成。 基于 Selenium 爬取 WOS 文献列表，导出 Excel 后自动调用多渠道 PDF 下载器（Sci-Hub/CORE/S2 OA/OpenAlex/Unpaywall/Publisher...
Usage Guidance
Do not run or trust this skill as-is. The SKILL.md refers to scripts (e.g., scripts/web_ui.py) and behaviors (browser automation, cookie persistence, downloading from Sci-Hub/publishers) but the published package contains only the instructions file. Ask the publisher for the actual code and a trustworthy source (repository or release tarball). Before running any downloaded code, review the code so you know where cookies and credentials are saved, whether external downloads are fetched at runtime (and from which URLs), and how errors/logs are handled. Be aware that using Sci-Hub may be illegal in your jurisdiction and that automated crawling of institutional WOS accounts can violate terms of service. If you decide to test, do so in an isolated VM/container, with a throwaway WOS account (if allowed), and after code review or provenance verification.
Capability Analysis
Type: OpenClaw Skill
Name: wos-literature-toolkit
Version: 1.1.2
The skill documentation (SKILL.md) describes a toolkit for scraping Web of Science (WOS) and downloading PDFs using a local Flask web server and Selenium. It involves high-risk behaviors including browser automation, session cookie persistence for subscription-based services, and automated file downloads from third-party sources like Sci-Hub. While these actions align with the stated academic purpose, the inherent risks of credential handling and the absence of the actual implementation code (scripts/web_ui.py) to verify secure data handling make this bundle suspicious.
Capability Assessment
Purpose & Capability
The description promises a Selenium-based web UI script (scripts/web_ui.py) that crawls Web of Science and calls multiple PDF download channels. However the published bundle contains no code files and no install spec. The claimed capabilities (running a Python web UI, controlling Edge via Selenium, contacting Sci-Hub/CORE/Unpaywall/etc.) cannot be implemented by this package as published, which is internally inconsistent.
Instruction Scope
SKILL.md explicitly instructs the agent/user to run a local Python script that will open a browser, perform automated login/crawling against WOS, persist cookies, and fetch PDFs from multiple external sources (including Sci-Hub). Those actions involve browser control, credential use, cookie storage, and network calls to third-party sites — but the skill does not provide the code to perform them or specify where cookies/files are stored. The instructions also implicitly request the user to supply WOS credentials and to allow automated browsing, which should be made explicit and scoped.
Install Mechanism
There is no install specification and no code files — normally low risk — but given the runtime instructions require installing Python packages and running a local script, the absence of any shipped code or install mechanism is an incoherence. It's unclear whether essential code is missing from the published bundle or expected to be fetched from an external source at runtime (which would be higher risk).
Credentials
The skill requests no environment variables, which matches the metadata, but requires the user to have a WOS account and Edge browser and promises to persist cookies and write PDFs. The SKILL.md does not declare any config paths or storage locations for cookies or outputs, so there is a mismatch between claimed persistence behavior and declared requirements. Also the use of Sci-Hub and other academic mirror/downloader services is expected for the stated purpose but raises legal/ethical considerations the user should understand.
Persistence & Privilege
The skill is not marked 'always: true' and allows user invocation only, which is appropriate. Cookie persistence and file output are normal for this functionality, but the skill does not declare where or how those artifacts are stored — that is a transparency/consent issue but not a manifest privilege misconfiguration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install wos-literature-toolkit - After installation, invoke the skill by name or use
/wos-literature-toolkit - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.2
WOS Literature Toolkit 1.1.2
- Added detailed documentation (SKILL.md) covering features, usage workflow, prerequisites, and agent guidance.
- Clarified the full workflow for literature search and batch PDF download in a unified web interface.
- Outlined multi-channel PDF retrieval logic and priority order.
- Included troubleshooting notes, cookie persistence, and network requirements for download sources.
Metadata
Frequently Asked Questions
What is wos-literature-toolkit?
WOS 文献一站式工具：Web of Science 检索爬取 + PDF 批量下载，全部在同一个 Web 界面完成。 基于 Selenium 爬取 WOS 文献列表，导出 Excel 后自动调用多渠道 PDF 下载器（Sci-Hub/CORE/S2 OA/OpenAlex/Unpaywall/Publisher... It is an AI Agent Skill for Claude Code / OpenClaw, with 98 downloads so far.
How do I install wos-literature-toolkit?
Run "/install wos-literature-toolkit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is wos-literature-toolkit free?
Yes, wos-literature-toolkit is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does wos-literature-toolkit support?
wos-literature-toolkit is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created wos-literature-toolkit?
It is built and maintained by GrizzlyCcc (@grizzlyccc); the current version is v1.1.2.
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