Plugins

Connects locally signed-in Trae CN models to DSH, supports DSH-executed tool calls, account switching, and Work/general credit visibility.

DeepSeek Harness session and workspace manager —— Workspaces: archive and visibility. Sessions: move, migrate presets, delete, favorite, review later, prioritize, tag, and annotate. Batch operations.

Skill marketplace and manager: manage skills from all local coding agents (10+ executors, incl. Claude Code and Codex) in one page and import them into the DSH skill library; built-in market of 6600+ skills, per-skill token-overhead stats, and model visibility control.

Connects Qoder (Lingma CN / international) models to DSH through their PATs, with a per-region multi-account pool, daily check-in, automatic failover, and read-only credit visibility.

Brings WorkBuddy desktop-app models into DeepSeek Harness: the China and international builds each appear as their own group in the model picker, with the reasoning tiers the upstream declares, per-reply credit cost and remaining balance, per-account model visibility, and image input where supported.

Analyze usage across models, providers, workspaces, and time ranges — including custom start/end dates over the full retained history — with live cache-hit visibility and separate model and provider breakdowns. Includes hourly single-day trends, daily cross-day trends, a 53-week GitHub-style heatmap, usage streaks, model and workspace Token-share donut charts with Token, cost, and percentage details, independent combinable filters, cache-efficiency trends, DeepSeek account balance, workspace aliases, CSV export, and a durable ledger that preserves successfully flushed usage after session deletion — and after a workspace is deleted, where its recorded usage is summed into one Deleted row — and rebuilds incrementally — on restart, unchanged sessions are applied from the ledger without re-reading their logs (a per-session log revision is the change signal), and only changed/new events are folded. The workspace registry is kept fresh automatically through the DSH domain/changed probe: only added/removed workspaces are reprocessed incrementally, unchanged workspaces reuse their computed aggregates and ledger with zero rescan, and usage is strictly limited to DSH-registered workspaces (unregistered cwds are ignored). After a scan, lightweight revision status fetches full history only when the Host/data state changes and exposes non-sensitive sync health (revision reuse, rereads, ledger recovery, and failures). Token accounting is explicit: input is fresh (cache read/write and reasoning are separate buckets) and zero-usage replays never overwrite recorded usage. Chinese uses local time, English uses UTC; API access is loopback-only.

MCP & Skill manager: enable/disable MCP servers and skills from a Settings panel to free context in real time; optional AI middle layer (mcp_search/mcp_call) calls disabled servers on demand, with state-based visibility filtering that keeps user-enabled servers visible.

Magpie gateway provider for DSH: syncs gateway models into the picker with visibility control, image input and thinking levels.

Lazy-loading router for MCP servers: auto-discovers compatible MCPs and keeps only a shared router in the tool catalog, revealing a server's schemas when a turn needs them and hiding them again at turn end, so many installed MCPs stop costing context on every request. Falls open to normal visibility on any uncertainty, and the original MCP keeps ownership of execution, permissions and process lifecycle. Also supports explicit lazy connections with warm reuse, bounded reconnection, stdio and Streamable HTTP.

Feishu/Lark IM channel for DeepSeek Harness agents with native thinking-process messages, approval cards, live goal and todo cards, workflow fan-out lines, session text search, and background job and subagent settlement notices. Access is bounded by the Feishu app's own visibility scope by design — anyone the app admits can drive the agent and answer its approvals unless the optional sender, group and approver allowlists are filled in.

Tidy the model list of DeepSeek Harness: hide any model from the selector, rename models and channels while keeping the provider billing rate, and arrange both with arrows. Search, per-provider batch toggles, back to top, one-click restore. Display only — no provider configuration is rewritten.

Glass weather pill in the session header with 23 weather states, each with its own tint, SVG icon and canvas particle layer, per-field visibility switches, and a get_weather tool backed by keyless Open-Meteo data.

Adds a draggable, position-persisted chip bar of configurable quick phrases to DeepSeek Harness, plus a /-triggered phrase menu with per-phrase pin, slash-menu, bar-visibility, and click-to-send toggles.

AIEO (GEO/AEO) delivery method as one isolated skill provider: AI-visibility diagnosis on a 0-9 score, positioning, search-term mining restricted to whitelisted platform exports, periodic monitoring and an HTML monitoring dashboard, chained by one shared question library, plus a landing-page cloner.

Skips offscreen chat and trajectory rows so long sessions scroll smoothly; measured row heights keep the scrollbar steady, visible content unchanged.

A long conversation that renders many LaTeX formulas at once can become laggy, because the browser keeps styling, laying out and painting content that is off screen. This plugin applies content-visibility: auto to the off-screen message bodies and block formulas, so that work is skipped and the lag is reduced.

Use TRAE account model quota in dsh, with multi-account management, daily check-in, rotation, usage statistics, reasoning levels and model visibility. Requires Python 3.10+; the first run downloads Python dependencies.

Cuts session input tokens three ways, each with its own switch in a panel under the composer: lossless structure-aware compression of tool results on `tools/post-execute`, then a per-tool head/tail elision that always names a recovery path through the shared spill store; tool-catalogue visibility per agent on `agent/created`; and a per-workspace memory document that recall matches against each new message and injects through `agent.inject`, so the transcript is not re-read. Measured 41.76% fewer prompt tokens over 149 recorded requests, with a bundled script that re-measures any profile.

Model visibility manager for DeepSeek Harness: hide or show any model in the conversation model selector from a dedicated settings page. Per-model switches, search, provider-level batch actions, reset-all. Zero intrusion - writes only its own hidden list, never the provider config; hiding a model in use never interrupts a running session.

DSH-native uv environment manager: create, sync and run Python virtualenvs from the settings tab, with pip fallback, read-only conda visibility and a dry-run project sync preview.

GEO brand audit skill bundle: AI-search visibility, recommendations, citations, competitor presence and content-gap diagnosis across 17+ AI engines (ChatGPT/Perplexity/Claude/豆包/DeepSeek/Kimi/文心一言).

Unofficial community plugin: per-viewport (desktop/mobile) visibility rules for DeepSeek Harness Web UI elements, with a settings page.

Named roles, model route guards, native configuration, and request-model visibility for official DeepSeek Harness subagents.