dsh-token-attention
Token attention management panel for DeepSeek Harness: per-task/day/week/month token usage and cost tracking (input hit/miss, output, reasoning), DeepSeek peak/off-peak pricing, task-type recognition, and advice on when to switch sessions, write a hand-off, or compact context.
Token 注意力管理面板：按任务/日/周/月记录 token 消耗与费用（命中/未命中/输出/推理四桶），支持 DeepSeek 峰谷计价与任务类型识别，并给出换对话、写 hand-off、压缩上下文的建议。
How to install
dsh plugin add github:Young4ever33/dsh-token-attention About
dsh-token-attention — Token Check for DeepSeek Harness English | 中文说明 **Token Check** is a token-attention management panel for DeepSeek Harness (DSH). It records every conversation's token usage and estimated cost by **task / day / week / month**, recognizes task types, and — combined with DeepSeek's peak/off-peak pricing and DSH's context mechanics — tells you **when to run a task, whether to switch sessions, and whether to write a hand-off file**. It is not a money-saving tool: it never throttles or cancels requests. It presents facts and advice; you decide. Features **Five views in DSH Set…
Recommendation signals
Meta
- License
- MIT
- Language
- TypeScript
- GitHub stars
- 2
- mo. downloads
- –
- Last push
- 2026-08-28
- Created
- 2026-08-22
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
- cost-tracking, deepseek-harness, deepseek-harness-plugin, dsh, dsh-plugin, sqlite, token-tracking, token-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.