Plugins

Shows the cost of the current session's latest exchange, meaning everything since your last message, as a CNY amount to the right of the permission control in the composer, calculated from provider-reported token usage at DeepSeek's peak and off-peak prices.

Cross-session per-model token usage replayed from the harness's own session logs, with a usage panel tab (requires dsh-better-sidebar) and a per-conversation model popover.

DeepSeek balance and today's spend from the official usage export, in one line at the right end of the DSH sidebar account row; hovering opens a card with requests, tokens and the peak/off-peak countdown.

Shows elapsed time, tokens, tokens per second and a shrinking countdown estimate in the chat header for the running turn, and estimates output tokens, context size, cost and duration above the composer before you send.

本插件仅供娱乐使用，非实用性插件，下载前请自行选择。DeepSeek Harness 非官方社区插件（Token-Reducer?）：模拟执行任务，生成 SIMULATED 轨迹与 0 字节产物，不调用真实模型或工具/For entertainment only. Not a practical plugin — download at your own discretion.Unofficial DeepSeek Harness plugin that simulates task execution with SIMULATED traces and zero-byte artifacts.

VT UI/UX Enhancer: reversible UI/UX refinements for DeepSeek Harness — palette, elevation, control shapes and motion shipped as patches over DSH's own tokens, slots and styles. Disabling the plugin restores the shipped interface exactly.

File-state cache skill for coding agents: one explore call replaces ls+grep+read, reads remember they already happened, and edits return a diff plus the exact changed line range instead of a full re-read. State is a JSON cache on disk, so it survives across tool calls and restarts. Requires Python 3.8+ (standard library only).

Registers two LLM account pools as model providers: TeleAgent (China Telecom TeleAI; paste a token once) with a daily 09:00 UTC+8 full-pool check-in — currently check-in, balances and model listing only, since its chat is blocked by the client signing key — and AutoClaw (Zhipu desktop, Windows), whose tokens are decrypted from the local DPAPI-protected credential store and whose chat streams through the desktop bridge. Both pools report credit balances and model catalogs; quota-triggered failover across local desktop instances is automatic, while switching the AutoClaw account is an opt-in setting (off by default). Panels ship in settings and the left sidebar.

Read-only dashboard for token usage, cost, request speed, and first-token latency across local DSH sessions.

Bailian Token Plan quota panel using the official CLI login: 5-hour, weekly and monthly windows, add-on credits, reset countdowns and subscription status.

Cost display for AiSpot (sapi) relays: crawls the provider's group list from its public pricing endpoints instead of hardcoding it, lets you pick the active group from a dropdown in the conversation header, and shows a per-turn cost at the end of each turn plus a session total that recurses through every subagent subtree. Switching groups re-prices all history instantly, because the host publishes token buckets only and the browser applies the live rates.

Shows where every session's tokens go: lifetime totals, cache hit rate, peak/off-peak cost, a calendar heatmap, a trend chart, per-model and per-workspace breakdowns, and a session tree revealing subagent sessions, with CSV/JSON export. Also ships context clear/compact actions and a prompt optimization button.

All-session token usage dashboard in the sidebar: total and peak tokens, usage streaks, a 53-week activity heatmap, 7/30-day trend, per-model usage and a session ranking. Folded locally from the profile session projection cache, so sessions written by older session formats are counted too; no network access, and the read-only summary route refuses non-loopback peers.

Composer token pill for the current session: total tokens plus uncached input, cache read, cache write and output, with the cache-hit share. A pure client consumer of the session tokenUsage projection — no host service, no file access, no network requests.

Volcengine Ark Coding Plan usage widget for DeepSeek Harness — a draggable whale in the corner opens a bubble card with the 5-hour, weekly and monthly request quota, plus a local token-to-CNY summary for today, the last 7 days, this month and all time. Requires the Volcengine Ark CLI to be installed and logged in (npm i -g @volcengine/ark-cli; arkcli auth login).

Token usage and cost analytics for DeepSeek Harness, with daily token and cost charts, model and workspace rankings, a sortable table with CSV export, account balance and per-session cost.

Adds a decode-speed reading to each reply action row, right of the usage control: open it for the turn time breakdown, first-token latency, decode output, prefill, speed ranges and total usage. A setting can keep every message action row visible.

Monitor workspace sessions, subagents, todo progress and token usage in a floating panel.

Five-tier reasoning protocol injected into the system prompt — off / light / standard / deep / multi-agent, 0 / 3 / 9 / 17 / 19 rules — with the tokens each tier adds per request shown beside it. Alongside it: a claim ledger that marks a load-bearing claim with no evidence or check as unsupported, read-only analyst briefs, JSON-declared custom tools that work in the same turn, one persistent PowerShell session, and re-injection of host context after a configurable message gap. Tier 0 injects nothing and mounts no tools. A derivative of husongan/dsh-deepseek-2027 (MIT); do not install both — each injects its own reasoning-protocol section into the system prompt.

Per-conversation token usage and estimated cost for DeepSeek Harness

Per-conversation tool kits for DeepSeek Harness: pick one kit and only its tools reach the model, with three bases (All, built-in only, or a saved kit), add-ons for one-off combinations, and a token ledger estimating what the kit saves.

A OneShot-themed desktop pet (World Machine) with the original game-style dialogue window, per-turn token usage , an optional OpenAI-compatible chat API, lightweight memory and a customizable persona card.

When enabled, exchanges the running process's launch token for a browser-session cookie at a configurable public URI (default /trustme), so a first visit needs no ?token= in the URL.

Sends a QQ direct message through a local NapCat (OneBot) instance when DeepSeek Harness asks for permission, after verifying the bot QQ; requires owner/bot QQ ids plus the NapCat endpoint and token, and falls back to a Windows notification when NapCat is unreachable.