A robust Python-based validator for CircleCI configuration files that enforces syntax accuracy, security standards, and pipeline best practices.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install circleci-config-validator
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 circleci-config-validator 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 CircleCI Config Validator?
The CircleCI Config Validator is a specialized utility designed to audit and refine .circleci/config.yml files. As a featured part of the Openclaw Skills ecosystem, it provides developers with a deep analysis suite covering 22 specific rules across five critical categories. By identifying issues before they reach the execution stage, it ensures that CI/CD pipelines are reliable, efficient, and secure.
This skill is built for high-performance environments where configuration errors can lead to costly downtime or security breaches. By integrating this into your development workflow, you can automate the process of linting and auditing your automation scripts, making it an essential component for any Openclaw Skills user focusing on DevOps excellence.
CircleCI Config Validator Use Cases
- Validating CircleCI pipeline configuration files for syntax and structural errors.
- Auditing CI/CD workflows to identify hardcoded secrets or insecure Docker configurations.
- Visualizing complex job dependency graphs to prevent circular references in automation.
- Linting configuration files to ensure compliance with resource class and caching best practices.
How CircleCI Config Validator Works
- The skill reads the target .circleci/config.yml file and parses it using PyYAML to verify basic YAML structure.
- It performs a comprehensive scan against 22 predefined rules covering Structure, Jobs, Workflows, Security, and Best Practices.
- Based on the input command, it can generate a full validation report, a quick syntax check, a list of jobs, or a text-based dependency graph.
- The results are output in the requested format (text, JSON, or summary), allowing for easy consumption by other Openclaw Skills or CI runners.
- It provides standardized exit codes (0 for success, 1 for errors, 2 for parse failures) to facilitate automated pipeline halting.
CircleCI Config Validator Setup
To use this tool within your Openclaw Skills environment, ensure you have Python 3.7+ and PyYAML installed.
# Install dependencies
pip install PyYAML
# Run a full validation
python3 scripts/circleci_config_validator.py validate .circleci/config.yml
CircleCI Config Validator Data Schema & Taxonomy
The validator organizes its findings into a structured taxonomy of rules and severities. The data can be exported as JSON for further processing by other Openclaw Skills.
| Rule ID Prefix | Category | Focus Area |
|---|---|---|
| S | Structure | YAML syntax, versioning, and top-level keys. |
| J | Jobs | Execution environments, step definitions, and commands. |
| W | Workflows | Dependency mapping, job references, and requirements. |
| SEC | Security | Secret management, Docker pinning, and deprecated steps. |
| B | Best Practices | Resource classes, directory settings, and cache matching. |
CircleCI Config Validator Advanced Features
- Strict Mode: Enabling the --strict flag treats all warnings as errors, ensuring zero-tolerance for suboptimal configurations.
- Dependency Graphing: Generates a text-based visualization of your workflow to identify bottlenecks and logic errors.
- Machine-Readable Output: Supports JSON formatting to integrate directly with custom Openclaw Skills or internal monitoring dashboards.
- Comprehensive Auditing: Includes specific checks for security vulnerabilities like hardcoded environment variables and unpinned Docker images.
SKILL.md
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