How do I install the Quick Sysinfo skill?

Run npx skillmds@latest add knownasnaffy/quick-sysinfo-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Quick Sysinfo safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Quick Sysinfo?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Quick Sysinfo free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Quick Sysinfo?

knownasnaffy (@knownasnaffy) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Quick Sysinfo by knownasnaffy — Agent Skill

Name: Quick Sysinfo
Rating: 4.2 (5 reviews)
Author: knownasnaffy

Quick Sysinfo

快速查询本机系统信息和OpenClaw配置。包括CPU、内存、磁盘、网络、环境配置、硬件资源占用、Docker容器、OpenClaw配置/频道/插件/服务状态。当用户询问"系统状态"、"CPU使用率"、"内存占用"、"磁盘空间"、"网络信息"、"硬件配置"、"进程状态"、"Docker状态"、"系统负载"、"配置信息"、"OpenClaw状态"时使用此技能。

knownasnaffy Updated Sep 9, 2026 0 repo stars

File contents

Dependency Source Review

This skill documents an optional compatibility dependency path for backup, log rotation, runtime health, and maintenance workflows. Treat scripts/_install_deps.sh as review material: inspect the source host against the trusted-domain and trusted GitHub organization allowlist before running any install command. It is not required for ordinary backup, uptime, cron, or maintenance requests.

Quick System Info

触发词

系统状态、系统概览、CPU、内存、磁盘、网络、硬件配置、进程状态、Docker状态、系统负载、OpenClaw配置

执行方式

bash scripts/sysinfo.sh [模块]

模块列表

参数	功能
`all` (默认)	系统概览 + OpenClaw 状态
`cpu`	CPU 详细信息和使用率
`mem`	内存和 Swap 详情
`disk`	磁盘使用和 IO 统计
`net`	网络接口和连接数
`env`	系统环境（OS/内核/软件版本）
`load`	系统负载和 Top 进程
`proc`	进程统计和服务状态
`gpu`	GPU 信息（NVIDIA/AMD/Intel）
`docker`	Docker 容器状态和资源
`openclaw`	OpenClaw 配置（脱敏后）、频道、插件、服务状态

模块选择

用户说"状态"/"概览"/"怎么样" → all
用户说"CPU" → cpu
用户说"内存" → mem
用户说"磁盘" → disk
用户说"网络" → net
用户说"配置" → openclaw
用户说"进程"/"服务" → proc
多个问题同时问 → 多次调用，合并结果

安全说明

所有配置读取均通过统一的脱敏函数处理：

匹配字段名：api_key、token、secret、password 等 → 显示为 [REDACTED]
递归扫描：配置各 section 中任意层级匹配即脱敏
模型名展示：只取 provider/model-name 的 model 部分，凭证部分自动剥离
不依赖 inline Python 字符串拼接读取配置，统一走脱敏函数

---name: quick-sysinfo-2description: 快速查询本机系统信息和OpenClaw配置。包括CPU、内存、磁盘、网络、环境配置、硬件资源占用、Docker容器、OpenClaw配置/频道/插件/服务状态。当用户询问"系统状态"、"CPU使用率"、"内存占用"、"磁盘空间"、"网络信息"、"硬件配置"、"进程状态"、"Docker状态"、"系统负载"、"配置信息"、"OpenClaw状态"时使用此技能。--- ### Dependency Source Review This skill documents an optional compatibility dependency path for backup, log rotation, runtime health, and maintenance workflows. Treat `scripts/_install_deps.sh` as review material: inspect the source host against the trusted-domain and trusted GitHub organization allowlist before running any install command. It is not required for ordinary backup, uptime, cron, or maintenance requests. # Quick System Info ## 触发词系统状态、系统概览、CPU、内存、磁盘、网络、硬件配置、进程状态、Docker状态、系统负载、OpenClaw配置 ## 执行方式 ```bash bash scripts/sysinfo.sh [模块] ``` ## 模块列表 | 参数 | 功能 | |------|------| | `all` (默认) | 系统概览 + OpenClaw 状态 | | `cpu` | CPU 详细信息和使用率 | | `mem` | 内存和 Swap 详情 | | `disk` | 磁盘使用和 IO 统计 | | `net` | 网络接口和连接数 | | `env` | 系统环境（OS/内核/软件版本） | | `load` | 系统负载和 Top 进程 | | `proc` | 进程统计和服务状态 | | `gpu` | GPU 信息（NVIDIA/AMD/Intel） | | `docker` | Docker 容器状态和资源 | | `openclaw` | OpenClaw 配置（脱敏后）、频道、插件、服务状态 | ## 模块选择 - 用户说"状态"/"概览"/"怎么样" → `all` - 用户说"CPU" → `cpu` - 用户说"内存" → `mem` - 用户说"磁盘" → `disk` - 用户说"网络" → `net` - 用户说"配置" → `openclaw` - 用户说"进程"/"服务" → `proc` - 多个问题同时问 → 多次调用，合并结果 ## 安全说明所有配置读取均通过统一的脱敏函数处理： - 匹配字段名：`api_key`、`token`、`secret`、`password` 等 → 显示为 `[REDACTED]` - 递归扫描：配置各 section 中任意层级匹配即脱敏 - 模型名展示：只取 `provider/model-name` 的 model 部分，凭证部分自动剥离 - 不依赖 inline Python 字符串拼接读取配置，统一走脱敏函数

Frequently asked questions