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Docker Container Cleaner

CLI tool to clean up stopped Docker containers, unused images, volumes, and networks to free up disk space.

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High Signal

CLI tool to clean up stopped Docker containers, unused images, volumes, and networks to free up disk space.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, SKILL.md, scripts/main.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

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

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...
  • โœ… 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

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs1 Scripts
  • SKILL.md Primary doc
  • README.md Docs
  • scripts/main.py Scripts