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docker-container-cleanerDocker container cleaner 部署

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

13,405

周安装

553

GitHub Stars

公开资料未说明

下载量

4,380
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:docker-container-cleaner(Docker container cleaner 部署)
来源仓库:https://github.com/derick001/docker-container-cleaner
安装命令:
openclaw skills install docker-container-cleaner
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 docker-container-cleaner

简介

用于清理停止的 Docker 容器、未使用的映像、卷和网络以释放磁盘空间的 CLI 工具。

SKILL.md

name
docker-container-cleaner
description
CLI tool to clean up stopped Docker containers, unused images, volumes, and networks to free up disk space.
version
1.0.0
author
skill-factory
metadata
openclaw
requires
bins

Docker Container Cleaner

What This Does

A CLI tool that helps clean up Docker resources to free up disk space. It can:

  • List and remove stopped containers
  • Remove dangling images (images with no tag)
  • Remove unused images (not used by any container)
  • Remove unused volumes
  • Remove unused networks
  • Perform a "prune all" operation (Docker system prune)

The tool provides a safe, interactive mode by default, showing what will be removed and asking for confirmation before deleting anything.

When To Use

  • Your Docker disk usage is growing and you need to free up space
  • You have many stopped containers that are no longer needed
  • You have old, unused images taking up disk space
  • You want to clean up Docker resources in a controlled, safe way
  • You need to automate Docker cleanup in scripts or CI/CD pipelines

Usage

Interactive cleanup (recommended for first use):

python3 scripts/main.py clean

Remove stopped containers only:

python3 scripts/main.py clean --containers

Remove dangling images only:

python3 scripts/main.py clean --images --dangling

Remove unused images (all images not used by containers):

python3 scripts/main.py clean --images --unused

Remove unused volumes:

python3 scripts/main.py clean --volumes

Remove unused networks:

python3 scripts/main.py clean --networks

Force cleanup (no confirmation):

python3 scripts/main.py clean --all --force

Dry run (show what would be removed):

python3 scripts/main.py clean --all --dry-run

Examples

Example 1: Interactive cleanup

python3 scripts/main.py clean

Output:

Docker Cleanup Tool
===================

Found resources:
- Stopped containers: 3 (using 1.2GB)
- Dangling images: 5 (using 850MB)
- Unused images: 2 (using 450MB)
- Unused volumes: 1 (using 100MB)
- Unused networks: 0

Total disk space that can be freed: 2.6GB

What would you like to clean up?
1. Remove stopped containers
2. Remove dangling images
3. Remove unused images
4. Remove unused volumes
5. Remove unused networks
6. All of the above
7. Cancel

Enter choice [1-7]: 2

About to remove 5 dangling images (850MB):
- python:3.9-alpine (dangling)
- node:16-slim (dangling)
- ...

Are you sure? (y/N): y
Removing images...
✅ Cleanup complete! Freed 850MB of disk space.

Example 2: Script-friendly JSON output

python3 scripts/main.py status --format json

Output:

{
  "containers": {
    "running": 2,
    "stopped": 3,
    "stopped_size_mb": 1200
  },
  "images": {
    "total": 15,
    "dangling": 5,
    "dangling_size_mb": 850,
    "unused": 2,
    "unused_size_mb": 450
  },
  "volumes": {
    "total": 4,
    "unused": 1,
    "unused_size_mb": 100
  },
  "networks": {
    "total": 3,
    "unused": 0
  },
  "total_reclaimable_mb": 2600
}

Requirements

  • Python 3.x
  • Docker: Must be installed and the Docker daemon must be running
  • Docker CLI: Must be available in PATH (docker command)
  • Docker SDK for Python: Optional, but recommended for better performance

Install Docker SDK for Python (optional):

pip install docker

Limitations

  • This is a CLI tool, not an auto-integration plugin
  • Requires Docker daemon to be running and accessible
  • Some operations require elevated permissions (sudo)
  • Cannot clean up resources in use by running containers
  • Image size calculations are approximate
  • Network and volume cleanup may fail if resources are in use
  • Does not clean up Docker build cache (use docker builder prune)
  • Does not clean up Docker Compose resources automatically
  • Performance depends on number of Docker resources
  • Large cleanup operations may take significant time

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

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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

86.04%
按下载量换算3,769

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Static analysis

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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