プラグイン

AI4Scholar 学術検索: Semantic Scholar、PubMed、Google Scholar、arXiv、bioRxiv/medRxiv、DOI 解決にまたがる 38 のツール (検索、引用グラフ、著者、推薦、分割された PDF 全文、自動引用、科学図表)。重複排除付きの統合クロスプラットフォーム検索、設定画面の API キーカード、`/ai4scholar` 残高カードによる呼び出しごとのクレジット計算を提供。

DeepSeek Harness向けAI-for-Science研究ワークフロースキル。エージェント型AIを使う研究者や大学院生向け：角度別ファイル付きの多角的文献レビュー、注意点リスト付きの実験設計、図と論文の読解。各ジョブはファイルと2番目のモデル用のクロス検証ブリーフを返します。依存ゼロ、MIT。

厳選された研究プラグイン市場：文献検索、参考文献管理、執筆、ワークベンチ用の手動レビュー済みプラグインを備えた「研究プラグイン」ページを「設定」に追加します。レビュー済みバージョンに固定されたインストール、更新、削除をワンクリックで実行でき、パネルから再起動可能、そしてネットワークリクエストは自身のカタログのための正確に1件のみです。

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