← 返回 Skills 市场
derick001

Docker Container Cleaner

作者 Derick · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
437
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install docker-container-cleaner
功能描述
CLI tool to clean up stopped Docker containers, unused images, volumes, and networks to free up disk space.
使用说明 (SKILL.md)

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
安全使用建议
This appears to be a local CLI tool that calls your Docker daemon to remove resources. Before using: (1) review the included scripts/main.py yourself (or run in a safe environment) to confirm behavior; (2) run with --dry-run first to see what would be removed; (3) avoid running in production unless you understand which containers/volumes/images will be deleted and have backups; (4) be aware Docker commands may require sudo or docker-group membership; (5) check the full script (not just the SKILL.md) if you have stricter security needs — the provided snippet was truncated in the review, so verify the complete file in your copy.
功能分析
Type: OpenClaw Skill Name: docker-container-cleaner Version: 1.0.0 The OpenClaw skill 'docker-container-cleaner' is a Python CLI tool designed to clean up Docker resources. The `scripts/main.py` uses `subprocess.run` to execute `docker` commands, which is appropriate for its stated purpose. The arguments passed to `docker` are constructed from hardcoded strings and `argparse`-processed inputs, mitigating shell injection risks. There is no evidence of data exfiltration, unauthorized network activity, persistence mechanisms, or prompt injection attempts in the `SKILL.md` or `README.md` files. The code's behavior aligns with its documentation and intended functionality.
能力评估
Purpose & Capability
Name/description (clean Docker resources) aligns with requirements (python3, docker) and the code which shells out to the Docker CLI and implements prune/status operations. No irrelevant binaries or credentials are requested.
Instruction Scope
SKILL.md only instructs running the included script and optional pip install for the Docker SDK. It does not instruct reading unrelated system files, sending data to external endpoints, or requesting secrets. Operations are limited to local Docker commands and reporting.
Install Mechanism
There is no install spec (instruction-only from platform perspective) and the repository includes a Python script. No remote downloads or archive extraction are specified by the skill metadata.
Credentials
The skill declares no required environment variables or credentials. It requires only the Docker daemon/CLI and Python, which are appropriate for its purpose. Some Docker operations may require elevated privileges (sudo or docker group), which is expected.
Persistence & Privilege
always is false, the skill is user-invocable and not force-installed. It does not request persistent system-wide privileges or modify other skills' configs in the provided content.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install docker-container-cleaner
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /docker-container-cleaner 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of docker-container-cleaner. - Introduces a CLI tool to safely clean up stopped containers, unused images, volumes, and networks to free disk space. - Supports interactive and script-friendly (JSON) modes. - Offers granular cleanup options (e.g., remove only containers, only dangling images, etc.). - Features --force (skip confirmation) and --dry-run (show what would be removed) flags. - Provides detailed status reports of Docker resources. - Requires Python 3 and Docker CLI; Docker SDK for Python is optional.
元数据
Slug docker-container-cleaner
版本 1.0.0
许可证
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Docker Container Cleaner 是什么?

CLI tool to clean up stopped Docker containers, unused images, volumes, and networks to free up disk space. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 437 次。

如何安装 Docker Container Cleaner?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install docker-container-cleaner」即可一键安装,无需额外配置。

Docker Container Cleaner 是免费的吗?

是的,Docker Container Cleaner 完全免费(开源免费),可自由下载、安装和使用。

Docker Container Cleaner 支持哪些平台?

Docker Container Cleaner 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Docker Container Cleaner?

由 Derick(@derick001)开发并维护,当前版本 v1.0.0。

💬 留言讨论