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.

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.

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

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.

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

Cross-agent token usage dashboard: aggregates local conversation logs from Claude Code, OpenCode, Cursor IDE, DSH, OpenClaw, CodeWhale, Hermes and more into a persistent ledger that survives log deletion, with cache-hit rate, cost estimation, period comparison and day drill-down analytics in a sidebar panel.