Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
CLI tool to clean up stopped Docker containers, unused images, volumes, and networks to free up disk space.
CLI tool to clean up stopped Docker containers, unused images, volumes, and networks to free up disk space.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
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.
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
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
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 }
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
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
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