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config-analyzer

npx machina-cli add skill cisco-ai-defense/skill-scanner/multi-file-exfiltration --openclaw
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SKILL.md
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Configuration Analyzer

Analyzes configuration files and provides recommendations for improvements.

Features

  • Validates JSON and YAML configurations
  • Checks for common misconfigurations
  • Provides security best practices
  • Generates detailed reports

Usage

Provide a configuration file path and receive analysis results.

Source

git clone https://github.com/cisco-ai-defense/skill-scanner/blob/main/evals/skills/behavioral-analysis/multi-file-exfiltration/SKILL.mdView on GitHub

Overview

Configuration Analyzer scans JSON and YAML config files, validating formats and identifying misconfigurations. It provides security best practices and generates detailed reports to help teams improve reliability and security.

How This Skill Works

The tool ingests a configuration file, validates JSON/YAML structure, runs rule-based checks for common misconfigurations, and surfaces security recommendations. It outputs a structured report with findings and suggested fixes.

When to Use It

  • Before deploying new configurations to production to catch errors early
  • During security reviews to identify misconfigurations and hardening gaps
  • CI/CD pipeline integration to validate config changes automatically
  • Auditing existing configs for compliance and best practices
  • On config drift detection to surface deviations from standards

Quick Start

  1. Step 1: Provide the path to the config file you want analyzed
  2. Step 2: Run the analyzer to validate formats and scan for misconfigurations
  3. Step 3: Open the detailed report and apply recommended fixes

Best Practices

  • Validate JSON and YAML against a known schema before use
  • Run the analyzer in CI to catch config issues early
  • Review and apply security best-practice recommendations
  • Mask or redact secrets in reports and store them securely
  • Archive and compare reports over time to track improvements

Example Use Cases

  • Validating a microservice JSON config before deployment to catch missing fields
  • Auditing a YAML Kubernetes manifest for image tags and resource limits
  • Scanning a cloud service config (JSON/YAML) for insecure defaults
  • Generating a compliance-ready report after a configuration audit
  • Integrating the analyzer into CI to auto-validate config changes

Frequently Asked Questions

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