A surgical validation tool for offline, deterministic checking of GitHub Actions, GitLab CI, and Keep workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-doctorbot-ci-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 skill-doctorbot-ci-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 DoctorBot: CI Validator?
DoctorBot: CI Validator is a specialized utility designed to eliminate production failures by providing offline validation for CI/CD workflow files. Born from intensive research into Keep bounty requirements, this skill bypasses the need for live environments, databases, or network dependencies to catch syntax and schema errors with surgical precision. It is an essential addition to any developer's toolkit, ensuring that automation scripts are structurally sound before they ever reach a remote repository.
As part of the growing library of Openclaw Skills, this tool provides deterministic feedback, making it ideal for both human developers and AI agents who need to verify generated code. By using localized mocking, it identifies exactly where a workflow will fail, saving hours of debugging time in the CI pipeline.
DoctorBot: CI Validator Use Cases
- Validating Keep (AIOps) workflows and providers without a live database connection.
- Checking GitHub Actions and GitLab CI files for YAML syntax and schema errors locally.
- Implementing pre-commit hooks to prevent broken workflows from being pushed to production.
- Enabling AI agents to validate generated CI/CD configurations before suggesting them to users.
How DoctorBot: CI Validator Works
- The skill receives a path to a specific YAML file or a directory containing workflow configurations.
- It initializes a platform-specific validation engine (e.g., specialized mockers for Keep or schema validators for GitHub/GitLab).
- The engine parses the YAML structure to ensure compliance with the target platform's specifications.
- It simulates the execution environment using deterministic mocking to verify logic and step sequences.
- The tool outputs a detailed diagnostic report, pinpointing the exact line and cause of potential failures.
DoctorBot: CI Validator Setup
To begin using this skill, install it via the command line interface:
openclaw install doctorbot-ci-validator
Ensure you have Python 3.x installed in your environment to execute the validation scripts provided in the package.
DoctorBot: CI Validator Data Schema & Taxonomy
The skill interacts with standard CI/CD configuration files and produces structured diagnostic feedback. Data organization follows this schema:
| Element | Format | Description |
|---|---|---|
| Workflow Source | YAML | Input files for GitHub Actions, GitLab CI, or Keep. |
| Validation Logic | Python | Scripted rulesets for deterministic environment mocking. |
| Error Reporting | CLI Output | Detailed diagnostics including file paths, line numbers, and error types. |
DoctorBot: CI Validator Advanced Features
- Specialized Mocking: Bypasses live infrastructure requirements for Keep workflows.
- Bulk Validation: Supports recursive directory scanning to validate entire repositories at once.
- Universal YAML Checker: Fast syntax verification for any YAML-based configuration beyond CI/CD.
- Agent-Ready Integration: Optimized for use within Openclaw Skills workflows to provide immediate feedback to AI coding agents.
SKILL.md
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