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ubuntu-wsl-system-cleanupubuntu wsl 系统清理

Agent Skill

ubuntu-wsl-system-cleanup 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

3,340

周安装

142

GitHub Stars

公开资料未说明

下载量

1,170
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:ubuntu-wsl-system-cleanup(ubuntu wsl 系统清理)
来源仓库:https://github.com/shenzheke/ubuntu-wsl-system-cleanup
安装命令:
openclaw skills install ubuntu-wsl-system-cleanup
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install ubuntu-wsl-system-cleanup

简介

ubuntu-wsl-system-cleanup 安全清理 Ubuntu WSL 系统中的缓存、日志和临时文件。

  • 适用于释放磁盘空间、优化系统性能或准备干净开发环境的维护任务。
  • 自动过滤 /mnt 外无用工件,保留重要数据的同时降低冗余存储占用。
  • 执行前应备份关键数据,并确认清理范围不包含业务必需文件。
  • 建议在测试环境中验证脚本行为后再应用于生产实例。

SKILL.md

name
system-cleanup
description
Audit and safely clean Ubuntu 24.04 system junk, caches, logs, temp files, and unused local tool artifacts outside /mnt. Use when the user asks to clean the system, free disk space, remove caches, tidy packages, reclaim storage, or safely prune local Linux files on Ubuntu/WSL. Default to safe cleanup first; do not touch /mnt or destructive Docker data unless the user explicitly asks.

System Cleanup

Audit disk usage first, then choose a cleanup level.

Safety rules

  • Never touch anything under /mnt.
  • Default to safe cleanup.
  • Do not remove user project files.
  • Do not delete Docker images, containers, volumes, or builder cache unless the user explicitly asks for Docker cleanup.
  • Prefer moving niche tool folders inside the workspace _trash/ when cleanup should stay reversible.
  • For package-manager caches and journals, direct deletion is acceptable after reporting what will be reclaimed.

Cleanup levels

1. Safe cleanup

Use this by default.

Run these checks first:

  • df -h /
  • du -xhd1 /root /var /usr 2>/dev/null | sort -h
  • journalctl --disk-usage
  • du -sh /var/cache/apt /var/lib/apt/lists ~/.npm ~/.cache ~/.local ~/.openclaw 2>/dev/null

Then run the safe cleanup script:

  • bash /root/.openclaw/workspace/skills/system-cleanup/scripts/safe-clean.sh

What safe cleanup does:

  • apt-get clean
  • remove old apt list cache files
  • vacuum systemd-journald
  • remove stale files from /tmp and /var/tmp
  • clear npm cache
  • clear user cache directories that are known caches
  • report before/after sizes

2. Extended cleanup

Use when the user wants more aggressive cleanup but still safe for active development.

Possible targets after confirming with the user:

  • old _trash/ directories in the workspace
  • stale pip caches
  • obsolete .npm/_npx
  • large tool caches under /root/.cache
  • optional docker system df report

Read references/targets.md before extended cleanup.

2b. Second-round orphaned-tool cleanup

Use when the user asks to clean leftovers from tools that were already removed, or when you suspect tool dependencies, launchers, configs, caches, or generated data still remain after uninstalling a tool.

Read references/orphaned-tool-patterns.md before acting.

Checklist:

  • find broken symlinks in ~/.local/bin
  • compare ~/.local/share/pipx/venvs against active launchers in ~/.local/bin
  • search ~/.cache, ~/.config, ~/.local/share, and workspace _trash for removed tool names
  • search configs for stale references to removed tools

Default actions in this mode:

  • delete broken symlinks
  • delete caches clearly tied to removed tools
  • delete stale _trash entries the user explicitly approved
  • keep shared runtimes and shared browser/tool dependencies unless clearly orphaned

3. Docker cleanup

Only use when the user explicitly asks.

First inspect:

  • docker system df
  • du -sh /var/lib/docker

Then choose the least destructive command that matches the request, for example:

  • docker image prune -f
  • docker builder prune -f
  • docker system prune -f
  • docker system prune -a --volumes -f only with explicit user confirmation

Reporting format

Always summarize:

  • biggest directories found
  • what was cleaned
  • what was intentionally preserved
  • estimated reclaimed space
  • any follow-up recommendations

Files to read when needed

  • For cleanup targets and rationale: references/targets.md
  • For execution: scripts/safe-clean.sh

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

82.47%
按下载量换算965

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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