dsh-arxiv-search
Run the following command in DeepSeek Harness:
dsh plugin install lixvn888/dsh-arxiv-search
Paste the following prompt into your AI chat to install this plugin:
Install by running dsh plugin install lixvn888/dsh-arxiv-search, with the full source at https://github.com/lixvn888/dsh-arxiv-search; after installing, restart dsh web so the Host loads the new plugin.
About this plugin
When you are deep in a research conversation with your model, pulling a quick arXiv search right into the chat is what dsh-arxiv-search is built for. It registers a single model-facing tool called arxiv_search in DeepSeek Harness that hits the public arXiv API directly — no API key, no Python runtime, no extra client bundle to maintain.
The core value is a flexible, parameterised paper query. You can set the keyword, cap the number of results (default 10, max 200), and choose the sort order by relevance, submission date, or last-updated date. Every returned entry carries the title, author list, abstract, dates, subject categories, the abs URL, and a direct PDF link, so you can start reading immediately.
It is a natural fit for researchers tracking new work, students writing literature reviews, or anyone using DeepSeek Harness who would like the model to pull up recent papers on a whim. A single natural-language sentence in the conversation is all you need to trigger a search.
Use Cases
- Ask the model to search recent papers on a topic mid-conversation
- Track the latest submissions in a specific research area by date
- Collect structured paper metadata for a literature review
Best For
- Graduate students and researchers tracking cutting-edge publications
- AI developers building conversational workflows with DeepSeek Harness
- Students who need quick literature access while writing reviews or reports
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