MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

Deployment Validation Config Validate

Deployment Validation Config Validate is an code AI skill with a core value of You are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

You are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configurat

Last verified on: 2026-07-07

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-07
Risk Level Low
mkdir -p ./skills/deployment-validation-config-validate && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/deployment-validation-config-validate/SKILL.md -o ./skills/deployment-validation-config-validate/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# Configuration Validation


You are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configuration testing strategies, and ensure configurations are secure, consistent, and error-free across all environments.


Use this skill when


- Working on configuration validation tasks or workflows

- Needing guidance, best practices, or checklists for configuration validation


Do not use this skill when


- The task is unrelated to configuration validation

- You need a different domain or tool outside this scope


Context

The user needs to validate configuration files, implement configuration schemas, ensure consistency across environments, and prevent configuration-related errors. Focus on creating robust validation rules, type safety, security checks, and automated validation processes.


Requirements

$ARGUMENTS


Instructions


1. Configuration Analysis


Analyze existing configuration structure and identify validation needs:


python
import os
import yaml
import json
from pathlib import Path
from typing import Dict, List, Any

class ConfigurationAnalyzer:
    def analyze_project(self, project_path: str) -> Dict[str, Any]:
        analysis = {
            'config_files': self._find_config_files(project_path),
            'security_issues': self._check_security_issues(project_path),
            'consistency_issues': self._check_consistency(project_path),
            'recommendations': []
        }
        return analysis

    def _find_config_files(self, project_path: str) -> List[Dict]:
        config_patterns = [
            '**/*.json', '**/*.yaml', '**/*.yml', '**/*.toml',
            '**/*.ini', '**/*.env*', '**/config.js'
        ]

        config_files = []
        for pattern in config_patterns:
            for file_path in Path(project_path).glob(pattern):
                if not self._should_ignore(file_path):
                    config_files.append({
                        'path': str(file_path),
                        'type': self._detect_config_type(file_path),
                        'environment': self._detect_environment(file_path)
                    })
        return config_files

    def _check_security_issues(self, project_path: str) -> List[Dict]:
        issues = []
        secret_patterns = [
            r'(api[_-]?key|apikey)',
            r'(secret|password|passwd)',
            r'(token|auth)',
            r'(aws[_-]?access)'
        ]

        for config_file in self._find_config_files(project_path):
            content = Path(config_file['path']).read_text()
            for pattern in secret_patterns:
                if re.search(pattern, content, re.IGNORECASE):
                    if self._looks_like_real_secret(content, pattern):
                        issues.append({
                            'file': config_file['path'],
                            'type': 'potential_secret',
                            'severity': 'high'
                        })
        return issues

2. Schema Validation


Implement configuration schema validation with JSON Schema:


typescript
import Ajv from 'ajv';
import ajvFormats from 'ajv-formats';
import { JSONSchema7 } from 'json-schema';

interface ValidationResult {
  valid: boolean;
  errors?: Array<{
    path: string;
    message: string;
    keyword: string;
  }>;
}

export class ConfigValidator {
  private ajv: Ajv;

  constructor() {
    this.ajv = new Ajv({
      allErrors: true,
      strict: false,
      coerceTypes: true
    });
    ajvFormats(this.ajv);
    this.addCustomFormats();
  }

  private addCustomFormats() {
    this.ajv.addFormat('url-https', {
      type: 'string',
      validate: (data: string) => {
        try {
          return new URL(data).protocol === 'https:';
        } catch { return false; }
      }
    });

    this.ajv.addFormat('port', {
      type: 'number',
      validate: (data: nu

🎯 Best For

  • QA engineers
  • Developers writing unit tests
  • Claude users
  • Software engineers
  • Development teams

💡 Use Cases

  • Generating test cases for edge conditions
  • Writing integration test suites
  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Deployment Validation Config Validate to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Does this generate test mocks?

Many testing skills include mock generation. Check the install command and skill content for details.

Is Deployment Validation Config Validate compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Deployment Validation Config Validate?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Deployment Validation Config Validate?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/deployment-validation-config-validate/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Not testing edge cases

AI tends to generate happy-path tests. Manually review for boundary conditions.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

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