Plugins

GitHub-style usage heatmap dashboard: per-workspace turn counts and token spend (with cache-hit rate), DeepSeek account balance, and workspace aliases.

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.

DeepSeek-styled cross-session token usage, request count, and tiered cost analytics dashboard.

Session execution analytics: steps, tool calls, failures, repeated actions, token usage and verification signals, rendered as text/Markdown/JSON reports.

Local-first personal usage insights in Settings, with 1/7/30-day token heatmaps and a 30-day calendar, token composition, model mix, and skill-call status.

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

Insurance company operations analyst — runs real solvency, profitability, embedded value (EV), investment risk and regulatory compliance calculations, not just text explanations.

Insurance company financial & operating analyst — solvency, financials, investment, distribution channels and peer comparison with real calculations.

Insurance actuary — runs real actuarial calculations (life & P&C reserve valuation under C-ROSS II BEL+RM, profit testing NBV/VNB/IRR, embedded value EV, pricing & loss-triangle reserving), not just explanations.

Token usage statistics by model, session and date in a sidebar panel, plus OpenCode Go quota, DeepSeek balance and Z.ai quota monitoring.

Per-model capability profiling for DSH: turns local session history into per-model dashboards of session counts, tool usage, error rates, and top error signatures, with time-range filters and multi-model comparison.

DeepSeek Harness usage analytics dock on the composer: Beijing-time peak/valley pricing with all-day weekend valley rate, live balance, cross-session history, by-date drill-down and charts.

Session insights and one-click shareable HTML replay for DeepSeek Harness.

Usage statistics dashboard for the DSH Web UI: info cards, a 280-day GitHub-style activity heatmap, daily token trend, and model-usage donut chart.

Lightweight usage analytics for DeepSeek Harness — token trends, activity heatmaps, model breakdowns, and exports.

Every tool call is counted, and the ones that never fire are named so you can remove them.

Governs multi-model access, monthly credits, manual/quality/credit/auto routing, failure rerouting, and usage auditing for DSH.

Shows official DeepSeek API cash balance and private DSH-local request, token, cache, daily, and per-model usage charts.

Neural Ledger · 神经账本 — turn your DSH collaboration sessions into a visual work ledger: token analytics, smart insights, trend forecasting, and one-click daily/weekly/monthly Markdown reports.

Composer stats strip for the DSH Web UI: official CNY pricing with auto-synced peak/off-peak tiers, per-model accounting, live timers, subagent-tree merging, DeepSeek account balance, budget alerts, and streaming cost estimation.

Semantic-layer analytics tool that uses curated table, column and metric metadata with Qdrant and Elasticsearch recall to generate, validate and execute MySQL analytical queries through the Xiwen service.

DeepSeek Harness 消耗统计插件：设置页「消耗统计」展示 Token 用量 KPI、半年活跃贡献热力图、按模型堆叠柱状图与模型环形图（Host 投影聚合 + 只读重算会话日志，永不写回）

Persistent provider-reported token usage totals with per-session, per-model, and daily activity statistics.

精准 Token 洞察，实时追踪，智能优化提示和用量归因 Sharp token insights, real‑time tracking, smart optimization signals & attribution