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Sysmon — DSH Plugin for DeepSeek Harness
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dsh-sysmon

Sysmon

DSH Web bottom-right system status overlay: CPU (x%/y), memory, disk usage, refreshes every 1 second

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:AKS1st/dsh-sysmon#4cb7a241f0228329d12010b4846c1bd508271ec0
READMECompatibilityVersions

Compatibility and provenance

Sysmon is published as dsh-sysmon and currently resolves to version 0.2.1. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
web
Release source
github
Registry updated
9/8/2026

Versions

0.2.1stable
9/8/2026
0.2.0stable
8/21/2026

Related plugins

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Latest
0.2.1
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
web
License
BSD-3-Clause
Source
github
GitHub
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Weekly downloads
0
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README

dsh-sysmon

DSH Web 的系统状态悬浮窗:固定在页面右下角,每 1 秒刷新显示 CPU、内存、磁盘占用率。

CPU 39%/16    MEM 46%    DISK 22%

显示规格

  • 位置:右下角固定悬浮,pointer-events: none,不遮挡界面操作。
  • 配色:默认浅灰色小字(等宽字体、11px)。
  • 刷新:1 秒一次。

阈值规则

指标默认(浅灰)橙色红色
CPU(x%/y)< 90%×核心数x ≥ 90%×核心数x ≥ 98%×核心数
内存≤ 80%> 80%> 90%
磁盘≤ 80%> 80%> 90%
  • CPU:x% 为所有核心使用率之和(可超过 100%),y 为总核心数;阈值按总容量比例计算。
  • 内存 / 磁盘:超过 80% 橙色、超过 90% 红色。

安装

从 GitHub 仓库安装:

dsh plugin --profile web add github:AKS1st/dsh-sysmon
dsh web

或 clone 到本地后从本地目录安装:

git clone https://github.com/AKS1st/dsh-sysmon.git
cd dsh-sysmon
npm install
npm run build
dsh plugin --profile web add .
dsh web

工作方式

  • Host(src/index.ts):通过 ctx.interval 挂载每秒运行且随插件生命周期清理的后台采样器,经 ctx.shell 采样(/proc/stat、nproc、/proc/meminfo、df -P /),把最新快照写入内存缓存。路由 GET /dsh-sysmon/api 只返回缓存(亚毫秒、零子进程开销),并拒绝非 GET 方法与跨源浏览器请求。CPU 使用率为相邻两次采样之间的增量(窗口约 1 秒),首次采样显示 0。
  • Client(src/client/index.ts):创建 #dsh-sysmon 固定定位元素,每 1 秒 fetch 一次路由,带 in-flight 守卫避免请求重叠;重绘只更新三个数值节点(diff 式)。纯 DOM 实现、零运行时依赖。

已知限制

  • 仅 Linux——宿主采集器读取 /proc/stat、/proc/meminfo 与 df;其他平台需要不同的采集器。
  • 仅根文件系统——磁盘占用只报告 /,按挂载点选择暂缓。
  • 采样窗口近似——CPU 百分比是相邻两次采样(约 1 秒)间隔内忙时占比,窗口内瞬时突发被平均。