편집자 노트

学术研究

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.

이것은 DeepSeek Harness(DSH) 플러그인입니다. 이 사이트는 GitHub README, 설치 정보, 유지보수 상태, 공개 보안 시그널을 모아 보여줍니다.

업스트림에서 중국어 README를 제공하지 않아 저장소 원본 내용을 표시합니다.

@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.

REPOSITORY SIGNALS

보안 및 설치 증거

이 점수는 공개 저장소 메타데이터와 이 사이트에 등록된 설치 증거에만 기반하며, 코드 보안 감사와 다릅니다.

출처 추적 가능

공개 플러그인 카탈로그에서 왔으며, 공개 GitHub 저장소로 연결됩니다.

라이선스

저장소가 MIT 라이선스를 선언했습니다.

유지보수 활동

최근 180일 내 코드 업데이트가 있습니다.

설치 증거

재현 가능한 정확한 설치 메타데이터가 아직 등록되지 않았습니다. 저장소 설명에 따라 직접 확인하세요.

설치 라이프사이클 스크립트

검사한 패키지 메타데이터에 설치 라이프사이클 스크립트가 선언되지 않았습니다.