A lightweight Python-based linter that audits docker-compose.yml files for security risks, configuration errors, and port conflicts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install docker-compose-linter
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install docker-compose-linter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Docker Compose Linter?
The Docker Compose Linter is a pure Python 3 tool designed to enhance the reliability of containerized environments. As part of the Openclaw Skills collection, this tool provides a dependency-free way to verify that infrastructure-as-code follows industry standards. It scans for everything from missing health checks to critical security vulnerabilities like privileged mode usage.
By integrating this tool into your development workflow, you can ensure that your Docker configurations are robust, secure, and optimized. It focuses on the technical truth of your YAML files, providing actionable feedback that prevents deployment failures and security breaches.
Docker Compose Linter Use Cases
- Identifying host port mapping conflicts before deploying to production.
- Enforcing security policies by flagging containers running in privileged mode or as the root user.
- Optimizing container performance by ensuring resource limits and restart policies are defined.
- Preparing for CI/CD integration by generating JSON-formatted audit reports.
- Auditing large-scale Docker Compose files for deprecated version keys and missing dependencies.
How Docker Compose Linter Works
- The user executes the script pointing to a target docker-compose.yml file.
- The script parses the YAML content using standard Python libraries to ensure maximum portability.
- It runs a series of diagnostic rules against each service definition, including security checks and logic verification.
- It performs a cross-service analysis to detect overlapping host ports that would cause runtime failures.
- The results are aggregated and output in the requested format, such as a human-readable text summary or a machine-readable JSON object.
Docker Compose Linter Setup
This tool requires Python 3.7 or higher and has no external dependencies. To use it within your environment, simply run the script from your terminal:
# Check the version of Python installed
python3 --version
# Run a basic lint check on your configuration file
python3 scripts/docker-compose-linter.py lint docker-compose.yml
# Execute a full audit with a summary of services and ports
python3 scripts/docker-compose-linter.py audit docker-compose.yml
Docker Compose Linter Data Schema & Taxonomy
The linter evaluates Docker Compose files against a specific set of rules and categorizes findings by severity. The data organization is as follows:
| Rule Type | Severity | Examples |
|---|---|---|
| Security | Error | privileged-mode, port-conflict |
| Reliability | Warning | no-healthcheck, latest-tag, root-user |
| Optimization | Info | no-resource-limits, no-logging, no-version |
Reports can be exported in text, JSON, or markdown formats to accommodate different documentation and automation needs.
Docker Compose Linter Advanced Features
- Multi-format output support (text, JSON, markdown) for seamless integration with other Openclaw Skills tools.
- Strict mode functionality that forces a non-zero exit code on any finding, ensuring high-quality standards in CI pipelines.
- Granular rule management allowing users to ignore specific warnings or filter reports by minimum severity levels.
- Full audit capability which provides a comprehensive overview of images used, build contexts, and active port mappings across the entire stack.
- Zero-dependency architecture making it ideal for restricted or air-gapped environments.
SKILL.md
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