MIT-licensed cross-agent research paper learning plugin, installed into DeepSeek Harness as Agent Skills via a one-line npx command — adaptive study materials, quick summaries, and a local web viewer at localhost:5815.
DSH integration
Compatible
Author-claimed
Safety audit
Unaudited
Last verified
2026-08-21
License
MIT
01What can it help you accomplish?
Study a research paper deeply inside DeepSeek Harness
Adaptive learning package — README, detailed summary, key insights, Q&A, code demonstrations with Jupyter notebooks, and extracted figures — stored under ~/claude-papers/ with a global search index and an auto-launched web viewer
Researchers, students and engineers running DeepSeek Harness who want papers turned into structured, searchable study material
Screen research papers quickly before committing to a deep study
quick-summary.md with a concise 300–500 word overview, while the PDF, complete paper.txt and metadata stay in the shared paper library
Readers triaging many papers in DeepSeek Harness who need a fast overview without running the full study workflow
Browse and search the studied paper library from DeepSeek Harness
Interactive Nuxt.js web viewer at http://localhost:5815 with KaTeX math rendering, code demonstrations and full-library search
Learners who want to revisit generated study materials and search their paper collection in a local web UI
02How to install into DeepSeek Harness
Prerequisites
- Node.js 20.19.x, or 22.12.0 and higher
- poppler-utils for PDF image extraction (macOS: brew install poppler; Ubuntu/Debian: sudo apt-get install poppler-utils; Arch: sudo pacman -S poppler)
- DeepSeek Harness installed as the agent host
Installation steps
- 01
Run `npx --yes @zlzliqing/claude-paper@latest install --target deepseek-harness` — the installer copies the plugin runtime to the user data directory and installs the generated compatibility Skills
$ npx --yes @zlzliqing/claude-paper@latest install --target deepseek-harness
- 02
Restart DeepSeek Harness after installation or upgrade
Verify the integration
Not specified by the author
03DSH integration and capability boundaries
Installed into DeepSeek Harness as Agent Skills via the npx installer (generated discovery adapters); invoke by asking the agent or loading the claude-paper-summary / claude-paper-webui Skills
Automatic PDF parsing & figure extraction
local PDF path or arXiv PDF/abstract URL→title, authors, abstract, links and complete paper text (paper.txt), meta.json with a 50k preview, detected code-repository links, and extracted figures
writes paper.pdf, paper.txt, meta.json and images/ into ~/claude-papers/papers/{paper-slug}/Adaptive learning material generation
parsed paper with difficulty-level and paper-type assessment→README, summary.md, insights.md, qa.md, plus method/mental-model/reflection notes when the paper complexity warrants them
writes Markdown study materials into the paper's library folder and updates the global search index (index.json)Code demonstrations
papers with detected GitHub / arXiv / CodeOcean code links→clean reference implementations (core-demo.py) and interactive Jupyter notebooks (concept-demo.ipynb), with original code integration when available
writes code demos into the paper library's code/ folderInteractive web viewer
the studied paper library at ~/claude-papers/→Nuxt.js web interface at http://localhost:5815 with KaTeX math rendering, material browsing, code demos and library search
launches a local web server on port 5815
04Who is it for? When not to use it?
Good for
- Researchers, students and engineers running DeepSeek Harness who want papers turned into structured, searchable study material
- Readers triaging many papers in DeepSeek Harness who need a fast overview without running the full study workflow
- Learners who want to revisit generated study materials and search their paper collection in a local web UI
Not for
- PDF image extraction depends on poppler-utils, which must be installed separately through the system package manager (brew / apt / pacman).
05Compatibility, maintenance and safety notes
- Requires Node.js 20.19.x or 22.12.0 and higher; older Node versions cannot run the npx installer or the plugin.
- PDF image extraction depends on poppler-utils, which must be installed separately through the system package manager (brew / apt / pacman).
- DeepSeek Harness must be restarted after installation or upgrade before the newly installed Skills become available.
MIT · actively maintained (last push 2026-08-14)
06Frequently asked questions
How do I install Claude Paper into DeepSeek Harness?
Run `npx --yes @zlzliqing/claude-paper@latest install --target deepseek-harness`. The installer copies the plugin runtime to your user data directory and installs the generated compatibility Skills, then you restart DeepSeek Harness. The default `all` target covers Claude Code, Codex, OpenCode and DeepSeek Harness at once.
Is it a native DeepSeek Harness plugin or an MCP server?
Neither MCP nor a repo clone: Claude Paper runs through Agent Skills. The README states no separate MCP server installation or configuration is required — the installer generates discovery and invocation adapters for DeepSeek Harness.
What prerequisites do I need?
Node.js 20.19.x or 22.12.0+, and poppler-utils for PDF image extraction (brew install poppler on macOS, sudo apt-get install poppler-utils on Ubuntu/Debian, sudo pacman -S poppler on Arch).
How do I use it inside DeepSeek Harness?
Ask the agent to study a paper by local path or arXiv URL (e.g. https://arxiv.org/abs/1706.03762), ask for a quick paper summary, or explicitly load the `claude-paper-summary` / `claude-paper-webui` Skills.
Where does my data go?
Everything stays local: papers and generated materials are organized in ~/claude-papers/papers/{paper-slug}/ with a global index.json, and the web viewer runs at http://localhost:5815.
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08Data and sources
A research-paper learning plugin for **Claude Code, Codex, OpenCode, and DeepSeek Harness**.
npx --yes @zlzliqing/claude-paper@latest install --target deepseek-harness
**Agent Adapters** - Generated discovery and invocation wrappers for Codex, OpenCode, and DeepSeek Harness
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-08-21. Found an error? Submit a correction.
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