dsh-academic-research
by userinner
证据落地的双语学术研究插件(DeepSeek Harness 及更多平台)
Evidence-grounded bilingual academic research plugin for DeepSeek Harness and On
安装
dsh plugin --profile web add github:userinner/dsh-academic-researchGitHub 源码安装:首次需按提示配置 allowBuilds 构建授权后重试
安装与环境配置指引、插件开发教程见 DSH 中文社区文档 ↗
安装即在你的机器上以你的权限运行第三方代码——它可读写文件、使用凭据、访问网络,DSH 的工具审批不会为插件代码加沙箱。「检测到 manifest」仅代表发现 dsh.bundle / dsh.plugin 清单,不构成兼容性或安全审查;安装前请审阅源码,不熟悉的插件先在不含密钥的环境试用。
README
An independent dsh-plugin for DeepSeek Harness and OnPeople. It adds a bilingual, evidence-grounded academic research collaborator without requiring an account or a licensed database connection.
The plugin provides:
- literature discovery through public Crossref and OpenAlex APIs;
- retrieval of a specific public HTTPS research record or paper page;
- source status and coverage information;
- evidence-aware bilingual literature review, academic writing, citation checking, and reviewer-response guidance;
- research-integrity rules that prohibit fabricated sources, data, quotations, experiments, and peer-review claims.
The package contains both the standard .codex-plugin/plugin.json metadata and a native DeepSeek Harness Cordis plugin. The .onpeople/industry.json companion lets OnPeople expose the same package as a selectable industry plugin; the DSH runtime uses src/index.ts and cordis.patch.yml.
Install in DeepSeek Harness
The package is designed for profile-scoped installation. From a DSH checkout or an installed dsh command:
dsh plugin --profile web add @onpeople/dsh-academic-research
Until the package is published, install a local checkout instead:
dsh plugin --profile web add /absolute/path/to/dsh-academic-research
For a GitHub release, publish this directory as its own repository and add the
dsh-plugin topic so it can be discovered with the rest of the ecosystem.
After installation, restart the profile. The package declares a dsh.bundle patch, so the profile automatically mounts the plugin row. It is not enabled in unrelated profiles.
Use it
Ask the agent directly, for example:
Search 2020–2024 English papers on graph neural networks for recommender systems. Build an evidence matrix with title, authors, year, DOI, source URL, and evidence limits.
The plugin's tools are:
| Tool | Purpose |
|---|---|
research_search |
Search Crossref and OpenAlex public metadata. |
research_fetch |
Read one allowlisted public HTTPS record or page. |
research_source_status |
Describe the public source coverage and limitations. |
The search tools are read-only and do not accept credentials. Public metadata, abstracts, and full-text links are reported as different evidence levels; a link is never treated as proof that the full paper was read.
Development
npm install
npm run build
npm pack
The package intentionally keeps provider calls in the plugin and uses only standard fetch; no custom UI is required. A host can compose it with its existing tool presentation, Skills, permissions, approvals, and model settings.
Compatibility
DeepSeek Harness is in developer preview and its plugin APIs may change. This package targets the profile-bundle contract available in the current master line and keeps the host-specific metadata declarative so a future manifest change can be handled without changing the research workflow content.
License
MIT. See LICENSE.
原始 README: https://github.com/userInner/dsh-academic-research/blob/main/README.md ↗
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