dsh-usage-dashboard
DeepSeek Harness Usage tab for DeepSeek account balance, official peak/off-peak pricing, live countdown, platform usage link, and local balance warning light.
DeepSeek Harness 用量页签:展示 DeepSeek 账户余额、官方峰谷时段价格、动态倒计时、平台用量页入口和本地余额告警灯。
How to install
dsh plugin add dsh-usage-dashboard About
dsh-usage-dashboard DeepSeek usage and billing panel for DeepSeek Harness Web. It adds a compact **Usage** tab to the conversation view. The tab shows the DeepSeek account balance, current official peak/off-peak pricing, the next price-window countdown, and a direct link to the DeepSeek platform usage page. Quick install from GitHub bash dsh plugin --profile web add github:Hann428/dsh-usage-dashboard Restart dsh web, then open any conversation and select the **Usage** tab. Requirements: DeepSeek Harness Web with plugin support. A configured DEEPSEEK_API_KEY credential in Harness Settings -> Mo…
Recommendation signals
Meta
- License
- BSD-3-Clause
- Language
- TypeScript
- GitHub stars
- 2
- mo. downloads
- –
- Last push
- 2026-08-24
- Created
- 2026-08-18
Basic safety check
- Findings
- curated 收录但无 npm 包/安装命令;无 license
- Sources
- curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
- Topics
- billing, deepseek, deepseek-harness, dsh-plugin, 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.