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Agent Skill · 开发

linux-systemd(Linux 系统)

linux-systemd 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

linux-systemd 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在开发类的 21,746 个 Skill 里排第 17,767。

总安装 380周安装 16GitHub Stars 4下载 133核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:linux-systemd(Linux 系统)
来源仓库:https://github.com/alphaonedev/openclaw-graph
仓库路径:skills/linux-systemd
安装命令:
npx skills add https://github.com/alphaonedev/openclaw-graph --skill linux-systemd
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/alphaonedev/openclaw-graph --skill linux-systemd

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于处理 GitHub 仓库协作信息和代码变更内容。适合围绕项目状态、Issue 和 Pull Request 进行整理。可结合来源仓库和原始 README 继续核验具体用法。安装前建议确认权限范围和是否会触发命令执行。linux-systemd 属于开发类 Skill,可作为该场景下的辅助能力补充。

注意 systemd 服务操作可能影响系统稳定性。

来源仓库内路径:skills/linux-systemd

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/alphaonedev/openclaw-graph --skill linux-syste…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

linux-systemd 怎么安装?

在终端执行 npx skills add https://github.com/alphaonedev/openclaw-graph --skill linux-systemd。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

linux-systemd 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

linux-systemd 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

linux-systemd 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

linux-systemd 用的人多吗?

公开数据是累计安装 380 次,近一周安装 16 次,下载 133 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

linux-systemd 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
linux-systemd

Linux 系统 · 本页

3804接触敏感数据未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

linux-systemd

Purpose

This skill provides tools for managing systemd on Linux, focusing on service units, system control, logging, and integration features like cgroups and socket activation, specifically for OpenClaw service management.

When to Use

Use this skill when you need to automate Linux service operations, such as starting/stopping daemons, monitoring logs, or optimizing resource usage with cgroups. Apply it in scripts for system administration, container orchestration, or when integrating OpenClaw as a systemd service. Avoid it on non-systemd systems like BSD or custom init setups.

Key Capabilities

  • Manage systemd unit files for services, sockets, and timers, including editing files in /etc/systemd/system/.
  • Control services via systemctl commands, such as starting, stopping, and restarting units.
  • Query logs with journalctl for real-time or historical output from specific units.
  • Integrate cgroups for resource limits, e.g., CPU/memory constraints on services.
  • Enable socket activation for on-demand service starts, reducing resource overhead.
  • Handle OpenClaw as a systemd service by creating a unit file with ExecStart pointing to the OpenClaw binary.

Usage Patterns

Always run commands with elevated privileges using sudo or as root. In scripts, use subprocess calls in Python or shell exec in Bash to invoke systemctl/journalctl. For unit file creation, edit files directly or use systemd-analyze for validation. When integrating with OpenClaw, ensure the service unit references the correct binary path and environment variables. Structure patterns as: detect service state first, then perform actions, and log outputs. For cgroups, specify limits in the unit file's [Service] section before reloading systemd.

Common Commands/API

Use systemctl for service management: e.g., systemctl start <unit> to start a service. For logs, run journalctl -u <unit> -f to follow output. To restart, use systemctl restart <unit> --no-block for non-blocking operation. For cgroups, inspect with systemctl status <unit> | grep CGroup or set via unit file. Socket activation setup: add Sockets= in the unit file and use systemctl start <socket-unit>. Code snippet in Bash:

#!/bin/bash
systemctl stop my-service
systemctl start my-service
echo "Service restarted"

In Python, use:

import subprocess
subprocess.run(['systemctl', 'status', 'my-service'])

For OpenClaw service, create a unit file like:

[Unit]
Description=OpenClaw Service
[Service]
ExecStart=/usr/bin/openclaw --config /etc/openclaw/config.json

Integration Notes

To integrate cgroups, add lines like CPUQuota=50% in the [Service] section of a unit file, then run systemctl daemon-reload and restart the unit. For socket activation, define a.socket unit file (e.g., ListenStream=12345) and link it to your service unit. When managing OpenClaw as a service, set environment variables in the unit file, e.g., Environment="OPENCLAW_API_KEY=$SERVICE_API_KEY", and ensure $SERVICE_API_KEY is set via export in your shell or systemd environment files. Reload systemd with systemctl daemon-reload after changes. Avoid conflicts by checking for existing units with systemctl list-units --type=service.

Error Handling

Always check command exit codes; for example, in Bash, use if systemctl start <unit>; then echo "Success"; else echo "Failed: $?"; fi. In Python, wrap subprocess calls in try-except blocks: try: subprocess.run([...], check=True) except subprocess.CalledProcessError as e: print(f"Error: {e.returncode}"). Common errors include "Failed to start unit" (check permissions or dependencies) or "Unit not found" (verify unit name with systemctl list-units). For journalctl, handle no logs with journalctl -u <unit> --since "1 hour ago" and parse output for errors. If cgroups fail, use systemctl status <unit> to debug limits, and ensure kernel support with cat /proc/cgroups.

Concrete Usage Examples

Example 1: Start and monitor an OpenClaw service. First, create a unit file at /etc/systemd/system/openclaw.service with contents:

[Unit]
Description=OpenClaw Daemon
[Service]
ExecStart=/usr/bin/openclaw

Then, run: systemctl daemon-reload; systemctl start openclaw; journalctl -u openclaw -f to start and tail logs.

Example 2: Restart a service with cgroup limits. Edit the unit file to include [Service] CPUQuota=30%, then execute: systemctl daemon-reload; systemctl restart my-service. Verify with systemctl status my-service | grep CGroup to ensure CPU limits are applied.

Graph Relationships

  • Connected to: linux cluster (e.g., shares dependencies with other linux skills like file management or process control).
  • Related via tags: systemd (direct link), services (e.g., to container or orchestration skills), linux (broad cluster ties), units (links to resource management skills).
  • Integration points: cgroup (connects to performance monitoring tools), socket activation (relates to networking skills).

平台分布

Codex

37.71%
按下载量换算50

Claude

29.55%
按下载量换算39

Cursor

19.75%
按下载量换算26

Gemini CLI

8.55%
按下载量换算11

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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