← Back to list

dsh-usage-stats

DeepSeek Harness Other Low risk

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

GitHub 风格用量热力图看板:按工作区统计使用次数与 Token 花费(含缓存命中率)、DeepSeek 账户余额查询、工作区别名管理。

How to install

DeepSeek Harness dsh plugin add dsh-usage-stats

About

dsh-usage-stats DeepSeek Harness 插件:GitHub 风格用量热力图 + Token / 缓存命中 / 账户余额看板 + 工作区别名管理。 **热力图**:53 周 GitHub 绿,每完成一个回合点亮;悬停按工作区显示次数明细与当日 Token **统计卡片**:总花费 Token(分项)、缓存命中率、账户余额(DeepSeek 官方接口)、总使用次数、连续使用、各工作区 Token 进度条 **工作区别名**:头部「✎ 工作区别名」管理,持久化保存($DSH_HOME/storages 的 KV 单元 usage-stats-aliases) 时间范围切换(近 30 天 / 近 90 天 / 全部)、动画、亮暗主题自适应 效果截图 安装 本插件是标准的 DSH 社区插件包(声明 dsh.bundle manifest + web client 半),数据全部来自持久化会话日志,安装后自动回填历史。 方式一:官方插件命令(推荐) bash dsh plugin --profile web add dsh-usage-stats 安装后刷新页面即可,无需手动改配置、无需重启。 方式二:手动注册(本地包) 1. 把本目录放入任意位置,并在 $DSH_HOME/profiles/node_modules/ 下创建指向本目录的符号链接(Windows 用 …

Recommendation signals

51 Tool quality · Based on stars, downloads, maintenance, security and docs
– User interest · Adjusted by in-site views, install copies and download clicks
51 Overall
0views
0unique visitors
0install copies
0download clicks
0outbound clicks

Meta

License
MIT
Language
JavaScript
GitHub stars
26
mo. downloads
4.9K
Last push
2026-08-14
Created
2026-08-14

Links

Basic safety check

Findings
None
Sources
curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics
analytics, deepseek-harness, dsh, dsh-plugin, heatmap, usage-stats

Related plugins

DeepSeek Harness
Score73

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.

☆ 202 ↓ 1.4K Other ↗
DeepSeek Harness
Score71

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.

☆ 1.5K ↓ 79.7K Other ↗
DeepSeek Harness
Score69

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.

☆ 9 ↓ 3.3K Other ↗
DeepSeek Harness
Score68

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.

☆ 8 ↓ 2.8K Other ↗