Plugins

DSH usage statistics dashboard: token / cost / duration / session aggregation with trend, heatmap and calendar views (settings.section "数据看板").

Automatically retrieves time-of-use pricing data (with Beijing Time) and notifies users during peak periods to reduce costs.

Insurance product comparison & proposal expert — clause analysis, cost-effectiveness, coverage planning, generates verifiable client-facing PDF proposals.

Cost panel for DeepSeek Harness: meters every request from session events, prices it against a built-in catalog of 136 models across 16 providers, and shows the current model, account balance, session, today and month spend plus a monthly budget bar next to the composer. Bilingual zh/en.

X (Twitter) connector for DeepSeek Harness: OAuth 2.0 credential binding, posting tweets with per-post cost estimation, and reading/summarizing related posts. Ships a settings card in the Web plugin page.

Peak-Valley Meter (峰谷电表) — a tiny DeepSeek usage companion: a minimal two-part balance chip above the composer (currency symbol + number, nothing else), official balance refreshed every 5s; click the symbol to open the official top-up page in a new tab; hovering the chip fades in a circular backdrop under the symbol, its left arc flush with the chip's own left edge, and expands a 24h peak/valley timeline (orange=peak, blue=valley, glowing marker at the current local time) so off-peak hours are obvious; independent today-spend metering; a settings panel with 10 muted color presets plus custom valley/peak colors, detailed/minimal styles and readout toggles; all-Chinese UI.

Daily news digest from 46 curated RSS sources, edited by the model already configured in dsh, delivered to your IM via webhook, and broadcast in the chat like a regular model reply with zero context cost.

X-ray for your DeepSeek Harness — see what's actually loaded, why, and what it costs you.

Token usage and cost metering for dsh: per-session and aggregate statistics with configurable pricing and reports.

Auto-switches the agent to ultra-compressed caveman-style output during DeepSeek peak-pricing hours (Beijing 09:00–12:00 / 14:00–18:00, price x2) and shows a status badge plus transition toasts.

Delegates a self-contained coding task to the local Claude Code subscription through the official Claude Agent SDK, and adds a session tab with live output, cost and remaining quota.

Quality-aware in-agent plugin discovery: a find_dsh_plugins tool that ranks the whole dsh-plugin topic through a daily quality-scored index (installable manifest, curated listing, license, activity) merged with a live gh search — zero LLM API cost, risk flags and exact install commands in every result.

DSH plugin: estimated DeepSeek API cost per session in the web GUI stats strip

Replay-aware per-turn model usage and session cost for DeepSeek Harness

Nearly half the agent cost, with accuracy intact. Just enough tools is a DeepSeek Harness plugin that uses Jev to reveal tools and skills progressively. The main model starts with a clean planning step. Jev then selects which capabilities to add as the task unfolds.

Content-degradation detection (thinking loops, output repetition) for DeepSeek Harness, with a continue-vs-handoff cost verdict and zero-model handoff documents.

Go (weiqi) review coach: parses SGF records, backfills winrate and score analysis with a bundled KataGo engine, explains the costly moves in the chat, and writes the commentary back into an SGF copy; a web panel shows the board with problem moves, AI choices and variations.

Same-origin in mechanism with the two loudest lines in context compression. The code-skeleton gate follows the skeletonization approach of Headroom (Apache-2.0), whose published headline is 20% fewer tokens for coding agents and 60–95% fewer tokens for JSON, same answers. The estimator channel follows TokenPilot (arXiv:2606.17016), which reports up to 60% lower cost for long-session agents. Both figures are theirs, quoted as-is; this plugin ships no benchmark of its own and claims no reduction of its own. What it adds for DeepSeek Harness: choose a compression profile, set the Auto Compact trigger level and toggle code-skeleton compression from one settings section, with exact DeepSeek V4 tokenizer measurement, same-revision count verification, and fail-open behaviour that keeps the original tool results on unsupported models.

Six independently togglable modules in one DSH plugin: per-turn CNY cost, DeepSeek account balance, PDF/Word/Excel/CSV read-write tools with right-sidebar preview, a compiler/runtime environment registry, and run/build tools that execute a program or an MSBuild project by environment id. Toolchain paths are resolved at run time (Visual Studio install-root scan, %ProgramFiles%, PATH) and can be overridden per environment through plugin config, so nothing is pinned to the author's machine.

Shows DeepSeek peak/off-peak pricing status, a countdown to the next rate change, and the estimated session cost as inline text beside the model selector.

Team cost captain: meters every model call (subagents included), attributes each call to a member by workspace rules, prices it with the built-in DeepSeek 2026-09 catalog (peak/off-peak, CNY/USD) or user overrides, and appends it to a local JSONL ledger. Adds hot-reloadable member budgets, 80%/100% webhook alerts, optional over-budget enforcement, a team_cost_report tool with CSV export, and a settings-page team dashboard served over a Typert RPC service.

Automatic model-tier routing for DeepSeek Harness: one user instruction enters, one tier decision comes out — complex intent is planned on the strong tier and implemented on the cheap tier, simple intent stays cheap throughout, with a deterministic guard and a TTL escalation fallback.

Summarises the case evidence, diagnosis, repair procedure, parts list and cost-option comparison for a motor into a Markdown repair recommendation report with data provenance.

Combines historical supplier quotes and service rates into onsite-repair, factory-overhaul, green-remanufacture and replacement options for a motor, then recommends one by total cost of ownership.