プラグイン

dsh-research-kit 是一个 浏览器侧 DSH 插件：它维护科研资源目录、把工作流和用户参数组装成可编辑 Prompt，并由 DSH 当前会话负责实际发送与执行。

Evidence-first GitHub research subagent with bounded tools and in-memory request caching.

Product Design workflow suite for DeepSeek Harness - a router plus nine pd-* skills carrying ideas from a minimum design brief through visual directions, evidence-grounded research and audits, URL cloning, frontend builds and a blocking design-QA gate.

Answers hard questions by staging a formal debate: two adversarial subagents argue opposite sides with research, then the main agent rules on the transcript through the debate_open, debate_round, and debate_verdict tools.

科研收敛驾驶舱 (developer preview): hard-gated research convergence loop for DSH agents - 7 conv_* tools + host session projection + turn-tail card (conversation.chat.turnTail) + cockpit strip (conversation.input.dock) + settings section. 零 npm 依赖 (node builtins

Economics-first journal/working-paper monitor for DeepSeek Harness: NBER RSS + arXiv econ (4 categories) + Chinese econ journals (Shi Jie Jing Ji via Magtech, Zhong Guo Nong Cun Guan Cha, Cai Mao Jing Ji, Zhong Guo Ren Kou Ke Xue, Jing Ji Guan Li via ajcass) fetch, keyword filter, dry-run/Webhook push, dedup persistence, and schedule_create-compatible briefing.

プラグインインサイトセンター：「どのプラグインを入れる価値があるか」を 1 つで解決 — plugin_guide はニーズをプラグインにマッチング、recipe は環境一式をインストール、plugin_rank はヘルス（0-100）をスコア化、plugin_audit はローカルチェックアウトをセキュリティ静的スキャン、plugin_verdict は install / caution / research / avoid を出力。

arXiv、一次情報のラボ、公式アーティファクト、ハードウェアベンダー、オプトインの X シグナルを整理してバージョン付きのリリース証拠バンドルを作り、主張単位の再現をコマンド・アーティファクト・指標・検証器でゲートします。

DSH をローカルの Beav に接続し、Xiaohongshu（RED/RedNote）やソーシャルメディアの AI 運用を行います：トピックリサーチ、ナレッジ、コピーライティング、画像、音声、ショート動画のワークフローを、承認と成果物トラッキング付きで提供。

Durable auto-research experiment loop for DeepSeek Harness, with create / run / monitor in the official Web GUI.

Paper library and reading workbench: arXiv search, a local plain-file library (metadata / PDF / extracted full text), and three-level reading notes (overview / understanding / critique) kept as markdown beside the PDFs; seven model tools plus a web panel.

SparkElf-maintained fork of dsh-quant: AI-native & DSH-native quant toolkit — 59 tools across 6 pluggable domains (data/alpha/ML/risk/execution), one end-to-end PDAT→PET research pipeline. Fork adds A-share-correct annualization, cross-sectional IC, and u

Automatically orchestrates complex DeepSeek Harness requests. It detects when delegation is useful, builds a dependency-aware plan, assigns bounded researcher, architect, backend, frontend, tester, and documentation workers, collects structured evidence, and sends the results to a final reviewer. The bundle atomically enables the workflow engine and model-facing subagent tools; disabling the plugin disables its complete tool group as well.

端到端内容智能采集与调研工作流：多源嗅探→四维评分门控→4级深度抓取→键控事实槽矛盾检测（GA11）→网络边界门控（GA12）→跨源融合→结构化 Markdown 报告。DeepSeek Harness (dsh) skill bundle.

Report stage — academic paper writing for asset pricing and machine learning research. Ships one skill.

Data stage — data discovery and quality assessment for asset pricing and machine learning research. Ships one skill.

Literature review stage — search, synthesis, and citation-chain tracking for asset pricing and machine learning research. Ships one skill.

Model training stage — end-to-end analysis, model training, and estimation for asset pricing and machine learning research. Ships one skill.

PPT stage — presentation generation (Beamer/Quarto) from the paper for asset pricing and machine learning research. Ships one skill.

Research writing bundle for DeepSeek Harness: literature search/citation (dsh-lit-search) + LaTeX/BibTeX guard (dsh-latex-guard) in one install.

Multi-agent isolated debate for DeepSeek Harness: debaters of different temperaments research independently (no herding), then cross-examine, then judges converge to a conclusion. Runs as a background job with per-agent progress, token accounting, wave-parallel execution, and session-referenced resume.

Role-based plugin recommender for DSH: asks the user's role (developer, designer, writer, researcher, ops, student...), recommends suitable plugins, and audits each with a local static security scan (dangerous code patterns + 0-100 risk score) and a reputation check (npm downloads / GitHub stars).

WikiPali Pali corpus research & write skills for DeepSeek Harness (dsh): pali-research + pali-write skill providers backed by the upstream wikipali CLI.

Deep literature research agent as a Deepseek-Harness preset powered by Scopus API.