플러그인

AI4Scholar 학술 검색: Semantic Scholar, PubMed, Google Scholar, arXiv, bioRxiv/medRxiv 및 DOI 확인을 아우르는 38개 도구(검색, 인용 그래프, 저자, 추천, 분할된 PDF 전문, 자동 인용, 과학 그림). 중복 제거 기능이 있는 통합 크로스 플랫폼 검색, 설정의 API 키 카드, `/ai4scholar` 잔액 카드를 통한 호출별 크레딧 계산을 제공합니다.

DeepSeek Harness용 AI-for-Science 연구 워크플로 스킬, 에이전트형 AI를 사용하는 연구자와 대학원생 대상: 각도별 파일의 다각도 문헌 검토, 주의사항 목록이 있는 실험 설계, 그림과 논문 읽기; 각 작업은 파일과 두 번째 모델용 교차 검증 브리프를 반환합니다. 의존성 없음, MIT.

엄선된 연구 플러그인 마켓: 문헌 검색, 참고 문헌 관리, 작성 및 워크벤치를 위한 수동 검토 플러그인을 갖춘 Research plugins 페이지를 설정에 추가합니다. 검토된 버전에 고정된 원클릭 설치, 업데이트 및 제거, 패널에서 재시작, 그리고 자체 카탈로그에 대한 정확히 하나의 네트워크 요청을 제공합니다.

A chemistry workbench panel in the DSH web UI. Draw structures on a Ketcher canvas (a script downloads the build; it renders locally in the browser with no backend), then compute on the current molecule with RDKit without calling a model — formula, molecular weight, exact mass, logP, TPSA, hydrogen-bond donors and acceptors, ring counts, Fsp3, stereocentres, Lipinski and Veber rule-by-rule checks, QED, PAINS/BRENK structural alerts and the Murcko scaffold, plus SMARTS substructure matching, fingerprint similarity, format conversion, standardisation and batch clean-up. A retrosynthesis tab talks to a pluggable backend (Retro* by default) over a single JSON-in/JSON-out process, and states what is missing when the backend is not installed instead of inventing a route. The calculations run in this repository's Python package (rdkit), which is installed with pip separately.

Registers the dsh-mol stdio MCP server, built on RDKit with no network access, into a DSH profile. It exposes 12 tools: three-level SMILES validation with human-readable diagnostics and character positions, molecular properties, drug-likeness and structural alerts, structure rendering to PNG/SVG, multi-molecule grids, format conversion (SMILES, InChI, InChIKey, MOL, SDF, formula), standardisation with a per-step change log, deduplication, SMARTS substructure matching, fingerprint similarity, and batch clean-up that reports every rejected row. The patch only registers the server; the tools live in this repository's Python package and must be installed first — the README gives a `pip install` route and a from-source route, and until the package is on PyPI the from-source one is what works.

Academic mode for DeepSeek Harness (dsh): a research persona, anti-fabrication rules for citations and data, and bilingual conventions. Pairs with dsh-ai4scholar (literature tools) and dsh-research (research skills).

Turn a paper into an academic talk for DeepSeek Harness (dsh) — 论文转 PPT / 组会汇报 / 会议报告 / 答辩 / 开题. Reads the real full text, budgets the slot per venue, and builds the deck around the figures with the speaker notes written as the script. Drives dsh-ai4schol