Plugins

蒸馏主管（distillation-director）：把一本书蒸馏成可执行 Agent 技能的判态制元技能（V4.6：V4.3–V4.5 防坑体系与判官工作流之上，增 §21 **强制门禁**——gate_start 开工自证闸（手册哈希＋条款逐字抄录＋执行单＋机器层＋官方模板）／gate_stage 阶段依赖链（前阶段未过不得进入）／preflight 自动纳入活跃蒸馏任务）

DSH plugin: read and write DingTalk AI Tables through the official dws CLI, adding ten DingTalk AI Table tools (nine `dingtalk_aitable_*` plus `dingtalk_sync_job`), a settings panel, and scheduled CSV export.

FDE toolbox bundle: installing this one plugin pulls in a curated set of common dsh plugins (git server, WebDAV mount, knowledge base, scheduled tasks, auto-resume, UI tweaks, auto-retrospection, file manager, smart titles, task board, plugin market, context trimmer, IM bridge, sidebar enhancements), with a panel showing install status and one-click gap-filling.

Image and video production toolkit for DeepSeek Harness - background removal with quality tiers, local inpainting retouch, headline and logo compositing, batch platform-size exports and image QA reports; for video, AI subject matting with background replacement (RVM ONNX, plus a chroma-key path), animated titles with fade/slide/typewriter/karaoke presets, 53 transitions with stylized variants, and light-effect and grading presets with LUT support, alongside footage inventory, accurate cutting, subtitle burn-in, music mixing and platform-spec exports; it provisions its own local Python runtime through a bundled bootstrap script.

Feishu (Lark) integration for DeepSeek Harness: 25 tools for chat messages and history, cloud documents (including knowledge-base pages, generated charts and images), bitable records, spreadsheet ranges and drive permissions, using your own enterprise self-built Feishu app.

Local SAG personal knowledge base plugin for DeepSeek Harness

Adds a markitdown tool that converts PDF, Word, Excel, PowerPoint, HTML, CSV, EPUB and URLs to Markdown, using a real Microsoft MarkItDown installation when one is reachable and a bundled dependency-free converter otherwise.

Team cost captain: meters every model call (subagents included), attributes each call to a member by workspace rules, prices it with the built-in DeepSeek 2026-09 catalog (peak/off-peak, CNY/USD) or user overrides, and appends it to a local JSONL ledger. Adds hot-reloadable member budgets, 80%/100% webhook alerts, optional over-budget enforcement, a team_cost_report tool with CSV export, and a settings-page team dashboard served over a Typert RPC service.

A desktop pet in the DSH web GUI: floating, draggable sprite pet that animates with agent activity (thinking, idle, error, done, awaiting approval), with a settings page for size, switching, gallery search and one-click pet install. Ships 4 bundled Hunter x Hunter starter pets.

Scheduled tasks panel for managing DSH agent and system crontabs with natural language input and execution logs.

Audit each finished assistant turn with an independent reviewer model and steer the agent to fix failed output, with at most 2 review rounds per turn and SOP-folder standards injected as an extra review dimension.

Scheduled DeepSeek Harness Agent tasks with mandatory end-to-end tests, run history, and bidirectional delivery through nine messaging channels.

Whole-report verification for scientific reports: per-claim checks against Crossref, PubMed (retraction scan), ClinicalTrials.gov, UniProtKB, GEO/SRA and PatentsView, URL accessibility and title agreement, claim-vs-source meaning at temperature 0, and a durable restartable audit ledger with an annotated report.

Self-evolving project-level Agent for DeepSeek Harness: 16 SDD workflow skills (clarification, PRD, issue, coding, locating, acceptance, review) plus project memory and knowledge that compound over time.

Brings the codebase knowledge-base capability of langchain-ai/openwiki into DSH — one-click generate/read/update of the repository Wiki, Grounded Claims (source-traced knowledge cards) and a project knowledge base built from uploaded local files, reusing the model DSH already has configured, with no second API key.

Local knowledge base manager for DSH agents: multi-format import, CJK-aware chunking, sqlite-vec vector + BM25 hybrid search with bge-reranker-base rerank, snapshots, kbpack export/import and cross-KB search — 22 agent tools plus a Web panel.

Windows desktop automation for DeepSeek Harness: accessibility-first observe/act loop with 30 standard tools (element/coordinate targets, auto/a11y/event strategy routing), superseded-observations and no-replay safety semantics, persistent kill switch, RuntimeId/rect-drift stale protection, chat cards and a floating panel (live ops, frame wall, env auto-detect settings), tiled vision describe for low-res models, JSONL audit trail and a pid allowlist. Requires Windows 10+ and Python 3.9+ with uiautomation and pillow (installable from the settings page).

Persistent token-usage ledger and Web Usage dashboard for DeepSeek Harness.

Configurable statistics row below the composer via a ${variable} display template — which segments appear and how they are labelled is fully user-defined.

Cost panel for DeepSeek Harness: meters every request from session events, prices it against a built-in catalog of 136 models across 16 providers, and shows the current model, account balance, session, today and month spend plus a monthly budget bar next to the composer. Bilingual zh/en.

MCP server that searches the Roblox DevForum and official creator docs so AI coding agents can debug Roblox games against real community and engine knowledge.

Built-in Obsidian-style knowledge base for DSH: agents distill conversations, documents and web sources into a structured .wiki graph, with retrieval, graph export, note editing, incremental builds and multi-vault management.

Real-time hot topics panel for the DSH web GUI: AI news and engineering news, each item with a distilled summary and the source link, shown from a sidebar entry with three views, keyword/source filters, read-state marking and hotkeys.

Static capability disclosure for DeepSeek Harness plugins: a Settings page and CLI that list installed plugins' capabilities, literal destinations, install scripts, and injection shapes (prompt registrations, shipped skill text, bundle patch), each with file:line evidence. Code-determined, reproducible, zero-token. Disclosure only — not a security verdict, never a safety claim.