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Parallel cognitive runtime for DeepSeek Harness: heartbeat-scheduled shadow agents that review, fact-check, and work alongside the main agent

DeepSeek Harness (dsh) 右侧账户计量小框：多账户（DeepSeek / Kimi 等）余额 + DSH 内消费统计，当前接入账户高亮，消费口径标注「DSH 消耗」，设置页可视化账户配置。A right-side account meter for the DeepSeek Harness Web GUI: per-provider balance, DSH-local spend, active-account highlight and a visual account edito

A typed, inference-capable ontology (TBox + ABox) plugin for DeepSeek Harness — durable domain knowledge the agent can define, assert against, and query under schema constraints.

Unofficial OpenAI Codex provider for DeepSeek Harness with ChatGPT subscription sign-in.

Character skins with an editable decoration board — Yukino warm daily and occult editorial themes, each with dual character sprites + sticker sheets, drag/resize/rotate coordinate editor, custom asset upload, and shareable diorama packs (assets + layout bundled).

Adaptive task and risk routing, loop budgets, and progressive tool-result pruning for DeepSeek Harness

DSH task-status traffic light: a host plugin that folds the session/event firehose into per-session idle/running/blocked/done states for the user-subscribed session set, exposes them over a loopback HTTP+SSE bridge (port 18765), adds a per-session「🚦 订阅」t

An interactive terminal surface for DeepSeek Harness: an in-process Cordis bundle over the real interaction seams

Project knowledge base plugin for DeepSeek Harness: Open Knowledge Format (OKF) bundles per project, agent search/read tools, a Web UI browser/editor, and a bundled OKF authoring skill

Show DeepSeek's peak / off-peak pricing period under the DSH Web composer, with a live estimate of what the session has cost.

peon-ping sound notifications for DeepSeek Harness — a faithful port of the pi plugin pi-peon-ping-win (native Windows audio fallback, WinForms popup, OpenPeon sound packs). Beeps only when a task completes or terminates unexpectedly, by default. Settings

Vision bundle + plugin for DeepSeek Harness: the describe_image tool reads local images and asks any configured multimodal route, with zero core changes

Task-queue execution endpoint for DSH: requires a separately self-deployed Hermes Agent gateway plus your own WeChat inbound script; verified on a single environment — expect to adapt it.

DeepSeek Harness plugin: Windows toast notification with sound when a session requests elevation approval — shows which session, why, and what is being elevated

DSH 会话提示音插件：会话完成 / 需要人介入（审批、提问、计划评审、目标受阻、后台任务失败）时播放内置合成提示音，按情况区分、默认配置一套，配置服务端持久化并在所有浏览器同步。参考 ldchaowin/dsh-plugin-notify-sound（MIT）裁剪改造：去掉自定义音频上传、TTS 与按工作区配置，改为内置音 + 设置 > 插件 > 插件配置卡片。

Inbound A2A (Agent2Agent) protocol server for DeepSeek Harness: publish an Agent Card and let any A2A-compliant peer submit tasks to a harness agent

Deployment-level static web plugin for DSH: cerrda dark re-theme of the DeepSeek Harness Web GUI (rose/purple oklch, Liquid Glass composer, Silk WebGL2 background, Sora/Fraunces/JetBrains Mono). Install with: dsh plugin --profile web add dsh-cerrda-theme

苏格拉底式追问技能：不断向用户提问，直到对方案/设计达成共识（grill me）。Pure-skill bundle for DeepSeek Harness.

dsh용 Browser Use 클라우드 브리지: Browser Use API를 통해 실제 웹 작업을 실행합니다 — 페이지 열기, 클릭, 입력, 양식 작성 및 데이터 추출.

dsh-shell for DeepSeek Harness: runs cmd / PowerShell commands on Windows (and bash-like shells on POSIX) with a bash-inspired safety model — timeouts, output truncation, exit codes, background jobs and a cwd allowlist

DeepSeek Harness (dsh) plugin for machine-wide token usage statistics — a Settings page with totals, a contribution heatmap, streaks, and a per-model breakdown. Reads session logs from every dsh home; no cost estimates.

Silence Chrome/iCloud password-manager prompts over DeepSeek Harness API-key inputs: rewrites password-type secret fields into masked text fields so browser password managers never treat DSH API keys as account passwords.

dsh plugin: launch the dsh-desktop Windows shell (region screenshot, tray, session manager) from the DSH conversation via a desktop_launch tool.

Prompt optimizer in the composer: rewrites the draft into an eleven-section analytical prompt using the conversation, workspace files and the session's selected model, with one-click undo.