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Watches Feishu (Lark) conversations with your own user identity and forwards new messages as prompts into a chosen DeepSeek Harness session: per-monitor sender filters, @bot-mention bypass and keyword allow/block lists, auto-created pinned target sessions, and cursor-based polling that re-reads messages after a failed delivery.

Configurable Git commit and pull request prompt instructions for DeepSeek Harness

Third-party DeepSeek Harness plugin: per-workspace custom prompt configured from a slash command and injected into the model context at session start.

DeepSeek Harness (dsh) plugin: an ambient pill under the composer showing whether your selected DeepSeek or z.ai plan is billed at peak or off-peak (half-price) rates right now, with a click-to-open schedule panel. PS: No human touched this code

Federated plugin registry aggregator for DeepSeek Harness — combine npm, GitHub, and JSON catalogs into one searchable index.

Gives DSH the full 33-tool browser surface (ctx.browser seam -> a self-hosted headless Chromium over CDP: one 127.0.0.1 daemon with Bearer-token auth, request-path whitelist and WebSocket rewriting, no root/GUI/Electron needed), plus a web panel — a real page you can click, scroll and type in, operation/console/network logs with one-click cleanup, a customizable window (border color, transparency, glass, fit-to-picture with no black bars, top-inset and self-centering) and an adjustable page size (1920x1080 by default) — plus a collapsed pill that can be dragged to any spot on the screen (free position), a live view that auto-resumes when you switch back to the web tab, and a 1920px default max edge for the live frame — and two bundled skills (browser, browser-runtime) served through the plugin built-in skill provider, so the skill centre lists them as system-level by default without writing into $DSH_HOME/skills.

A structured decision layer for the DeepSeek Harness agent loop: a danger-call gate, output self-check, tool narrowing, and loop guard backed by a pluggable adjudication model.

Turn chat logs into a panel list maintained by a resident agent. Includes a zero npm-dependency core and an optional WeChat/QQ ingestion pipeline. Installs as a DSH profile bundle.

Unified @ mentions in the DeepSeek Harness web composer: five built-in categories (file, folder, skill, past chat, plugin) plus a data-source seam any plugin can register through, references to absolute paths outside the workspace, and a candidate menu that can be scoped by a folder named earlier in the draft and pages with PageUp/PageDown instead of hiding rows.

Legal knowledge-base workbench: hybrid keyword/statistical/vector retrieval over local statute .doc/.docx corpora, faceted filtering, charge-name and civil-cause trees, a document editor, and four AI tools (citation check, contract review, AI analysis, AI drafting).

A newspaper-style front page for a session you left running, as a Conversation View tab beside Chat and Trajectory: a per-turn timeline (duration, steps, tools, tokens, outcome), file churn counted per file, where the wall clock went and how much of it was the model rather than tools, which single turn ate the spend, failures nobody retried quoted with their failing command, and a context-pressure gauge measured against the routed model's own declared capacity. The briefing is folded from the durable session log and never generated by a model, so it costs no tokens, cannot hallucinate, and is byte-identical for the same log and clock; it appends nothing to the session and reaches no model, and it reports a pending approval without ever answering it. Pages are offered only when they have content, and the tab refreshes itself on turn settle and on a two-speed poll backed by a metadata-only tail probe.

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.

Gemini provider for DeepSeek Harness on Google Cloud Vertex AI, with Application Default Credentials, streaming, and thought-signature replay across tool calls.

Tokyo Night 暗色 / 亮色主题 for DeepSeek Harness (DSH) 桌面端 —— 注册进主题运行时的真实皮肤，含亚克力磨砂面板、材质模糊与等宽字体选择器。Tokyo Night dark & light themes for DeepSeek Harness (DSH) Desktop — real theme-runtime skins with acrylic panels, material blur, and a monospace font picker.

LESSONS.md (AI mistake notebook) visualizer panel for DeepSeek Harness Web UI — browse, search and review your AI mistake notebook entries by level and recurrence.

Remotely control DeepSeek Harness sessions and workspaces from QQ (official Bot API v2, direct chat only): list and switch workspaces, create sessions, compact history, switch models, with streaming, markdown and approval forwarding. Access is not gated per user — anyone who can message the bot controls these sessions, using your model quota and file permissions.

Pre-flight check for a DeepSeek Harness profile's plugin tree: static checks (syntax, package structure, patch references, config-tree assembly) plus optional real-boot smoke (isolated `dsh web` instance) and page-side smoke (headless Edge over CDP), with

自动发现 Aperture 网关上的模型，并加进 DSH 的模型选择器。

Global Schedule tab for DeepSeek Harness Web: view built-in scheduled reminders across all dialogs and open their source conversations.

Keep DSH provider model catalogs current with the living models.dev catalog: refreshes each provider's models (new and existing) with updated modalities and thinking levels — automatically and from one refresh button in the Models page. / Utrzymuj żywy ka

Measure whether a dsh setup change actually helped: register repeatable cases, run them, and diff the results before and after you change rules, skills, or models.

Track token spend and enforce budgets for every model call your dsh agent makes.

Every change to your agent's instructions is recorded with a diff, and any change can be undone.

Remote DSH access that needs no hosting of your own — the Feishu DM chat is the interface over the bot's outbound long connection, with cards for workspace, session (switch and rename), model, reasoning effort, permission preset and balance, and tool approvals and agent questions answered in that same chat.