Plugins

Turn your DSH token usage into a gacha game: feed a monster with tokens, earn coins, pull from 14 AI waifus (Kimi/GLM/Gemini/Claude and more), enhance artifacts, and build a Balatro-style battle team with daily sign-in bonuses.

Automatically and intelligently routes each delegated task to the best configured model using aliases, capability tags, and usage guidance—keeping routine work fast and affordable while sending complex work to stronger specialists. Configure your model team in the Web UI or guided setup, run specialists in parallel with reliable result joining, and see the chosen model at a glance in subagent views and inline in Better Sidebar's Tasks tree.

Real-time DeepSeek account balance badge in the sidebar footer with odometer roll animation, multi-currency support, balance trend chart, per-key usage statistics with historical backfill, and GitHub version auto-check.

ChatGPT Codex subscription chat: official OAuth, a Sol/Terra/Luna catalog with Fast rows, live usage limits, and optional search and view_image tools.

OpenCodeGo quota monitor for the DSH Web GUI: a breathing indicator at the input's bottom-right (green/yellow/red by remaining share), a liquid-glass panel with rolling/weekly/monthly usage windows and reset times, auto-refreshing every 30 s; API key read from DSH credentials.

Bottom info bar for the DSH Web UI: provider/model, live balance, peak/off-peak pricing with countdown, and real persisted per-session spend in a single line.

Token usage and estimated spend for the dsh web UI: floating panel with per-model, per-day, and per-session stats.

Unified token quota and usage statistics for dsh: multi-vendor rolling/payg quota with sidebar cards and provider ops, plus session-log token aggregation with trends, heatmap, and per-model breakdown. Frozen archive: keep the pinned version, as the author no longer adapts it to newer DSH releases.

Command Code for DSH connects Go / GOAT / Pro / Max subscriptions through llm-pi-ai provider profiles, with model sync previews, favorites and hidden models, per-model reasoning presets, explicit request diagnostics, usage alerts, configuration import/export and web search.

Manage tool availability and groups for each Agent Preset, load tools on demand like Skills, and reduce model context usage.

Kanban task board for DeepSeek Harness sessions: the main agent dispatches tasks to one-shot worker/verifier subagents, with dependency scheduling, file-level exclusion locks, arbitration hold/freeze, milestone progress reporting, and per-task token usage stats.

Unified token quota and usage statistics for dsh: multi-vendor rolling/payg quota with sidebar cards and provider ops, plus session-log token aggregation with trends, heatmap, and per-model breakdown.

Tencent CloudQ integration: AIOps chat mode with usage, inspiration, artifact and architecture panels.

CC Switch-style token consumption statistics for the dsh web GUI: per-request usage log, real-consumption hero, request-time-bucketed trend chart, per-model peak/off-peak list pricing, per-project and per-model stats, and account balance.

Bottom-right quota pill and panel aggregating membership quotas across AI platforms (Kimi Code, DeepSeek, Zhipu Coding Plan, BigModel, Qwen, Scnet, TokenRouter, SupaWriter), auto-syncing API keys from the DSH credentials domain with colored usage bars.

Enhanced ACP server for DeepSeek Harness: block & reasoning streaming, usage telemetry, model/effort switching, permission presets, session resume/archive, per-session MCP servers, and Zed file/terminal forwarding.

Per-model token usage and cost estimation with DeepSeek account balance, shown in a Settings panel tab.

Office workspace & session dashboard: a floating 6-column sprite panel visualizing workspaces, sessions, token usage and subagents, plus Agent Mail and an office log tab. Feishu/Lark views (message feed, meeting schedules, transcripts) additionally require the `@larksuite/cli` tool installed and authenticated separately.

Exposes a running DeepSeek Harness as an MCP server over Streamable HTTP or a bundled stdio bridge, so an external agent can create workspaces and sessions, prompt, fork, rename and switch the model on them, read and write files, run foreground and background shell commands, call the instance's own agent tools by name, and read per-turn and cumulative token usage with a cost receipt when a price plugin is installed.

Data asset compliance check plugin — checks source compliance, processing compliance, usage compliance.

Takes over the built-in web_search and web_fetch providers with Tavily, each behind its own toggle: a key pool with balance-aware scheduling that reads real credit balances from /usage, failover with hard exclusion of cooling or exhausted keys, and call history with a 14-day credit chart.

OpenCode Go subscription models as a DeepSeek Harness provider: re-resolves the live gateway catalog every few minutes, auto-adapts models the built-in table has not seen, and covers streaming, tool calls, image input and subscription usage. A maintained fork of dsh-opencode-go: a clash with the upstream package over the llm-opencode-go settings namespace makes it withdraw quietly instead of failing the whole plugin tree, and an already-claimed opencode-go route makes it serve on opencode-go-plus.

A customizable widget rail for the right side of DeepSeek Harness: 61 cards covering session stats, tokens and cache, context, background jobs, subagents, machine metrics, OpenCode Go and Command Code quota, session cost, peak pricing and the GitHub review queue. Cards install from an in-rail market into 1-4 column grids and 2x2 or 2x4 tiles, with per-instance settings, a magnification wave under the pointer and a one-click hide. Works on DSH 0.1.x and 0.2.x, web UI and desktop app.

Windows system-tray launcher for dsh web: console-free background start (VBS/powershell chain), a tray menu with open UI / logs / icon presets / launch-at-login / restart Harness, one-click install and update of the bundled dsh-plugin-usage-meter, and a dsh plugin half that starts the tray together with the harness.