A pure Python linter and validator designed to ensure Helm charts follow security, structure, and dependency best practices.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install helm-chart-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 helm-chart-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 Helm Chart Linter?
The Helm Chart Linter is a specialized tool within the ecosystem of Openclaw Skills designed for developers and DevOps engineers. It provides a robust, zero-dependency Python script to audit Kubernetes Helm charts. By analyzing the directory structure, Chart.yaml files, and template configurations, it helps identify potential misconfigurations before they reach production.
This skill is particularly valuable for maintaining high-quality infrastructure-as-code standards. It checks for 22 specific rules, covering everything from semver compliance to critical security risks like hardcoded secrets or privileged containers. Integrating this into your Openclaw Skills workflow ensures that every chart is compliant with modern Kubernetes deployment standards.
Helm Chart Linter Use Cases
- Validating Helm chart directory structures for mandatory files like Chart.yaml and values.yaml.
- Performing security audits to detect hardcoded secrets, privileged containers, or unsafe image tags.
- Checking dependency integrity by matching Chart.lock with Chart.yaml requirements.
- Enforcing Kubernetes best practices such as resource limits, probes, and standard labels.
- Integrating into CI/CD pipelines to block deployments of non-compliant charts using strict mode.
How Helm Chart Linter Works
- The user provides a path to a local Helm chart directory through the Openclaw Skills interface.
- The script identifies the specific command (lint, security, dependencies, or validate) to determine which ruleset to apply.
- The linter parses the Chart.yaml and values.yaml files using standard Python libraries to verify fields and security contexts.
- It scans the templates/ directory to ensure proper resource management and the absence of deprecated API versions.
- A comprehensive report is generated in the requested format (text, JSON, or Markdown), detailing any errors or warnings found during the audit.
Helm Chart Linter Setup
To use this skill within the Openclaw Skills framework, ensure you have Python 3 installed. No external packages are required as it uses the standard library.
Clone the repository and locate the linter script to begin validation:
# Run a basic lint check on your chart
python3 scripts/helm_chart_linter.py lint ./path/to/chart
# Perform a full validation with strict error reporting for CI
python3 scripts/helm_chart_linter.py validate ./path/to/chart --strict
Helm Chart Linter Data Schema & Taxonomy
The Helm Chart Linter analyzes and produces data based on the following taxonomy:
| Data Category | Details |
|---|---|
| Input | Local directory path containing a standard Helm chart structure. |
| Output Formats | text (default console output), json (structured data), markdown (report-ready format). |
| Rule IDs | Categorized as CHART (Structure), SEC (Security), DEP (Dependencies), and BP (Best Practices). |
| Exit Codes | 0 (Success), 1 (Errors/Strict Warnings), 2 (Usage/Script Error). |
Metadata tracked includes chart versions, API versions, and dependency repository URLs.
Helm Chart Linter Advanced Features
- Strict mode execution for CI/CD environments to treat warnings as fatal errors.
- Multi-format output support including JSON and Markdown for seamless integration with third-party reporting tools.
- Deep security scanning covering privileged escalation, host namespace leaks, and non-root user enforcement.
- Automated dependency validation ensuring repository URLs use secure HTTPS protocols and valid semver constraints.
- Proactive check for deprecated Kubernetes API versions to facilitate smooth cluster upgrades.
SKILL.md
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