Plugins

Static-context audit for a DSH home: a six-layer baseline (rules, memory, skills, tool surface, sessions, KB), broken-path checks for a markdown capability map, memory duplicate/stale/over-limit reports, SKILL.md description compression, and tool-surface plus cold-start static-context estimates recovered from session logs. Four read-only DSH tools; writes require --apply and are backed up first. Requires Python 3.10+ on the host (stdlib only; all four tools shell out to the bundled CLI).

Qoder supplier plugin for dsh-router, covering both the CN and international regions. Uses a personal access token for authentication, signs requests to the Qoder cosy gateway and converts upstream SSE to OpenAI SSE; the model list reports the upstream display name alongside the key, while account selection and cooldown stay in dsh-router core.

DeepSeek balance and token usage panel for DSH, with official platform billing, a daily usage calendar, and local session-log estimates for all providers using editable per-model pricing.

Token spend panel for DeepSeek Harness: today and 7/30-day totals, natural month/quarter/year sums, cost split by cache-hit input, cache-miss input and output, per-model and per-session detail, daily and monthly budgets with a projected day-end spend, peak/off-peak pricing, CSV and JSON export, and a zero-dependency CLI report. Also prices GLM (Zhipu) and Kimi models shipped through third-party routes. Maintained fork of olimc2016/dsh-token-meter-panel (MIT, 0.6.7) with a rewritten panel; it uses its own row, route and slot ids, so it installs alongside the upstream entry rather than replacing it.

The shared UI foundation for DSH plugins, with a live component preview: design tokens, common controls, workspace browsing and notifications maintained in one place — install it to preview every component in a real host.

Adds handoff, context-decision and context-diagnose skills, self-contained context_pressure/context_history tools (peak tokens, compaction stats), per-route realWindows with windowSource evidence, routeKey, handoffAt forced-handoff line, and slash commands.

AiQuestion「先问清楚再动手」—— DSH 意图澄清插件：在 AI 花费大 token 开工前，程序化发起澄清提问，并以 AI 自身判断为优先裁决用户回答是否合理、是否有参考意义，直到彻底理解用户意图后再放行主模型

DSH Token 用量 / 花费 / 余额面板（社区插件，非官方；即 dsh-token-meter-panel 的短名孪生包，二者代码相同，可同时安装）：兼容 DSH 0.2.x，零外部依赖（无需 zstd/zstdcat/Homebrew）· 账户余额走 DeepSeek 账号登录或 API Key · 峰谷分档计价 · 成本构成 · 按会话明细 · 预算告警。Community token usage, cost & balance panel for DeepSeek Harness.

Read-only Automations tab in the conversation view. It aggregates what other plugins are scheduled to run: last run time, next run time and a rough token-cost estimate, plus today's total spend and remaining balance. It owns no tasks and starts nothing.

Ponytail port: a DeepSeek Harness agent preset that makes the model finish tasks with the least tokens, with lite / full / ultra levels.

Captures and compares single-token behavioral fingerprints of configured DSH model routes using the One Token Is Enough protocol.

Adds an AIignore tab to the right sidebar: scores the open conversation and its folder across five dimensions, blocks reads of build output, lockfiles and logs before they reach the model, and writes the .aiignore rules for them one button at a time.

Local usage ledger that reads this machine's session logs and reports per-day, per-model and per-workspace token consumption, cache hit rate, tool-vs-chat split and estimated cost, with an in-app editor for per-model prices.

Visual browser for DeepSeek Harness: a right-sidebar tab under the built-in Browser that streams Chrome live as a binary JPEG frame stream (no screenshot polling) while the Agent drives it through a token-light numbered view of interactive elements, never

For DSH plugin AUTHORS: run this after you finish writing a plugin and it audits the entire publish path, then hands you the exact GitHub + npm + market commands. Pre-publish gate for DSH plugins. Turns every silent failure in the publish path into a deterministic check: package.json completeness (missing exports\["."], files omitting lib/ so the tarball is empty, no "type": "module", client declared without a ./client export), UTF-8 BOM, JSON/YAML parse errors, cordis.patch.yml insert rows written at the wrong indent (the bug that makes a plugin install and never mount), insert name mismatches, missing entry exports, require() inside ESM, missing LICENSE or README install line, missing tests, unscoped npm names that return a 403 no granular token can diagnose, versions already on the registry, and missing GitHub repos. Six agent tools; every finding carries its fix. Read-only, no LLM.

A namespace management tool for toolsets that supports automatic discovery and integration, designed to help reduce token consumption. Also runs TypeScript and JavaScript in a restricted Node runtime for on-demand namespace calls.

Per-conversation system prompt, turn-based context folding, sampling overrides and a low-token pure chat mode for DeepSeek Harness.

Adds a connection-test panel under Settings -> Models: reads the deployment's model catalog and probes each configured model with one minimal chat round-trip (a short "ping" with a small output cap) through the Host LLM service, verifying connectivity with a real request. Each row reports success/failure with the harness failure code (NO_ADAPTER, MISSING_CREDENTIAL, AUTH, RATE_LIMIT, TIMEOUT, ...) plus first-token/total latency; single-model and concurrent test-all (3) are supported. Credentials are resolved inside the Host process and never reach the browser; probes are independent per model behind a same-origin-fenced route with a body-size cap. Pure JS, no build step, MIT.

Registers the models of a local workbuddy2api-hub gateway into DSH as one OpenAI-compatible provider per gateway API key, each key keeping its own model selection, and shows the main key's credit balance plus today's and this week's tokens, credits and API-equivalent cost in a sidebar badge. Requires workbuddy2api-hub running locally.

Counts the subagent sessions a conversation spawned and shows their token usage and CNY cost in the composer dock, grouped by parent turn.

Per-turn and per-step cost ledger for DeepSeek Harness: a Turns tab beside Chat and Trajectory with tokens, estimated cost, cache savings, and an inspector for tool arguments, raw results, and source. Client-only; prices are estimated from recorded model usage.

Per-answer timing breakdown: splits each reply into model, tool and other time, with first-token, decode and per-tool totals, and keeps a local JSONL ledger. Needs Node 24 or newer in the DSH runtime.

GitHub-style contribution grid in the Web sidebar showing how many prompts you sent each day, with a switch to count conversations, total tokens or output tokens instead. Counts only messages you sent yourself; injected context is excluded.

A customized usage-statistics-panel dashboard with a 52-week square heatmap, bar-only token trends, and ended-turn labels, using the upstream collector and history. Same package name as upstream HaoyueQin/dsh-usage-statistics-panel, so the two cannot be installed together.