MIT 许可的跨代理论文学习插件，通过一条 npx 命令以 Agent Skills 形式接入 DeepSeek Harness，提供自适应精读材料、快速摘要与 localhost:5815 本地 Web 阅读器。
DSH 适配
兼容
作者声明
安全审计
未审计
最后核验
2026-08-21
许可证
MIT
01它能帮你完成什么？
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
02如何接入 DeepSeek Harness？
前置条件
- 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
安装步骤
- 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
验证接入成功
作者未说明
03DSH 适配与能力边界
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
04适合谁？何时不该用？
适合
- 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
不适合
- PDF image extraction depends on poppler-utils, which must be installed separately through the system package manager (brew / apt / pacman).
05兼容性、维护与安全提示
- 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)
06常见问题
如何把 Claude Paper 安装到 DeepSeek Harness？
运行 `npx --yes @zlzliqing/claude-paper@latest install --target deepseek-harness`。安装器会把插件运行时复制到用户数据目录并安装生成的兼容 Skills，之后重启 DeepSeek Harness 即可。默认的 `all` 目标会一次覆盖 Claude Code、Codex、OpenCode 和 DeepSeek Harness 四个代理。
它是 DeepSeek Harness 原生插件还是 MCP 服务器？
都不是 MCP，也无需克隆仓库：Claude Paper 通过 Agent Skills 运行。README 明确说明无需单独安装或配置 MCP 服务器，安装器会为 DeepSeek Harness 生成发现和调用适配器。
需要什么前置条件？
Node.js 20.19.x 或 22.12.0 及以上版本；PDF 图片提取还需要 poppler-utils（macOS 用 brew install poppler，Ubuntu/Debian 用 sudo apt-get install poppler-utils，Arch 用 sudo pacman -S poppler）。
在 DeepSeek Harness 里怎么使用？
直接让代理学习论文即可，支持本地路径或 arXiv 链接（如 https://arxiv.org/abs/1706.03762）；也可以请求快速论文摘要，或显式加载 `claude-paper-summary` / `claude-paper-webui` Skill。
我的数据会存到哪里？
全部保存在本地：论文与生成的材料按 ~/claude-papers/papers/{paper-slug}/ 组织，并维护全局 index.json 搜索索引；Web 阅读器运行在 http://localhost:5815。
07相关的 DSH 工作流
dsh-web
作者 zhu1090093659
DeepSeek Harness（dsh）插件聚合生态，万物皆插件，通过创意工坊分发。
petdex
作者 crafter-station
面向 Codex、Claude Code、DeepSeek Harness 等智能体的动效宠物公共图库。
j-space-cognition-suite-v3.7
作者 tiger3807861189
J-Space Cognition Suite V3.7 - AI cognitive-enhancement Skills based on Anthropic's J-space global workspace research. | 哔哩哔哩：Tiger380 (UID 3494375382321675) — https://space.bilibili.com/3494375382321675
dsh-deep-whale
作者 small-tailqwq
Whale Girl skin series for DeepSeek Harness. 适用于 DeepSeek Harness 的，鲸鱼娘系列皮肤。
08数据与来源
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
页面基于项目公开文档、仓库元数据和 DSH Plugins 的结构化解析生成；最后核验于 2026-08-21。发现错误？提交更正。
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