userInner / dsh-academic-research

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Evidence-grounded bilingual academic research plugin for DeepSeek Harness and OnPeople

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설치

npx -y @deepseek-ai/dsh plugin --profile web add github:userInner/dsh-academic-research

이 설치 명령은 GitHub 저장소 주소에서 생성된 확인되지 않은 시작점입니다.

README

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GitHub에서 보기 ↗
커밋 41650f0동기화 2026. 8. 18.

@onpeople/dsh-academic-research

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:

ToolPurpose
research_searchSearch Crossref and OpenAlex public metadata.
research_fetchRead one allowlisted public HTTPS record or page.
research_source_statusDescribe 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.

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저장소 정보

언어
TypeScript
라이선스
MIT
마지막 업데이트
2026. 8. 14. 오전 1:40

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