dsh-model-surplus
Shows the active model's usage and remaining balance in the session header: OpenCode Go plan usage (rolling, weekly, monthly) with the selected model's monthly cap, and DeepSeek account balance.
在会话标题右侧显示当前模型的用量与余量：OpenCode Go 套餐用量、选中模型所对应的月上限，以及 DeepSeek 账户余额。
How to install
dsh plugin add github:itchenshi/dsh-model-surplus About
dsh-model-surplus 这是 **DSH Ready GUI** 的组成部分之一 —— GUI 开箱内置四个插件，勾选即用。 也可单独装到任何 DSH 宿主里（见下方「装上就能用」）。 GUI：https://github.com/itchenshi/dsh-ready-gui 在 DeepSeek Harness 的**会话标题右侧**显示 **当前模型的用量 / 账户余额** —— 用到哪个模型，就显示哪一份，不用切页面去查。 ┌─ 会话标题栏 ───────────────────────────────────────────────────────────────┐ │ 我的对话 [OpenCode Go 滚动 18% 周 82% 月 42% 上限 $60] 打开功能 ▾ │ │ 另一个对话 [DeepSeek ¥110.00] 打开功能 ▾ │ └────────────────────────────────────────────────────────────────────────────┘ | 当前模型路由 | 显示什么 | 数据从哪来 | |---|---|---| | opencode-go / opencode | 套餐用量：滚动 / 周 / 月**百分比** + 重置时间，外加**所选模型**的月度上限（上限 $60） | GET http…
Recommendation signals
Meta
- License
- MIT
- Language
- JavaScript
- GitHub stars
- 0
- mo. downloads
- –
- Last push
- 2026-09-24
- Created
- 2026-09-21
Links
Basic safety check
- Findings
- curated 收录但无 npm 包/安装命令
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- Topics
- balance, cordis, deepseek-harness, dsh, dsh-plugin, opencode-go, usage
Related plugins
TokenLedger
zh667/TokenLedger
Sidebar usage panel that attributes tokens to the relay site that served each request, read from your existing provider config: today/month/all-time totals, per-site and per-model breakdowns, a year activity heatmap, and New API / Sub2API / DeepSeek balances.
dsh-context
bowenliang123/dsh-context
DSH context insight panel: Context dashboard + /context command + Context browser — one-stop context lifecycle management with categorized composition, content details, evolution trends, compaction/injection events, and stats.
dsh-usage-statistics-panel
HaoyueQin/dsh-usage-statistics-panel
Usage statistics settings panel: 26-week activity heatmap, daily token trend with a cache hit-rate curve, per-model donut and breakdown, time-range filters, summary cards, one-time historical backfill and lossless rebuild.
dsh-all-usage
ParticleLight/dsh-all-usage
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.