Back to Skills

checking-infrastructure-compliance

jeremylongshore
Updated Today
16 views
712
74
712
View on GitHub
Metaai

About

This skill analyzes infrastructure configurations to check compliance against SOC2, HIPAA, and PCI-DSS standards. It identifies potential violations and generates compliance reports for security audits. Use it when a developer needs to assess compliance risks or create a compliance status report.

Quick Install

Claude Code

Recommended
Plugin CommandRecommended
/plugin add https://github.com/jeremylongshore/claude-code-plugins-plus
Git CloneAlternative
git clone https://github.com/jeremylongshore/claude-code-plugins-plus.git ~/.claude/skills/checking-infrastructure-compliance

Copy and paste this command in Claude Code to install this skill

Documentation

Overview

This skill enables Claude to evaluate infrastructure configurations against common compliance frameworks. It helps identify potential vulnerabilities and gaps in compliance, providing valuable insights for remediation.

How It Works

  1. Receiving Request: Claude receives a user request to check infrastructure compliance.
  2. Analyzing Configuration: Claude analyzes the infrastructure configuration based on the requested compliance standard (SOC2, HIPAA, PCI-DSS).
  3. Generating Report: Claude generates a report highlighting potential compliance violations and areas for improvement.

When to Use This Skill

This skill activates when you need to:

  • Assess infrastructure compliance against SOC2, HIPAA, or PCI-DSS standards.
  • Identify potential security risks related to compliance violations.
  • Generate reports on the compliance status of your infrastructure.

Examples

Example 1: Assessing SOC2 Compliance

User request: "Run a SOC2 compliance check on our AWS infrastructure."

The skill will:

  1. Analyze the AWS infrastructure configuration against SOC2 requirements.
  2. Generate a report identifying any non-compliant configurations and recommended remediations.

Example 2: Identifying HIPAA Compliance Issues

User request: "Check our cloud environment for HIPAA compliance violations."

The skill will:

  1. Analyze the cloud environment's security settings and configurations against HIPAA regulations.
  2. Provide a report outlining potential HIPAA violations and suggested corrective actions.

Best Practices

  • Specify Standard: Always specify the compliance standard (SOC2, HIPAA, PCI-DSS) you want to check against.
  • Provide Context: Provide as much context as possible about your infrastructure to ensure accurate analysis.
  • Review Results: Carefully review the generated report and implement the recommended remediations.

Integration

This skill can be integrated with other DevOps tools and plugins to automate compliance checks and integrate compliance into the development lifecycle. For example, it can be used in conjunction with infrastructure-as-code tools to ensure compliance from the start.

GitHub Repository

jeremylongshore/claude-code-plugins-plus
Path: backups/skills-migration-20251108-070147/plugins/devops/compliance-checker/skills/compliance-checker
aiautomationclaude-codedevopsmarketplacemcp

Related Skills

sglang

Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill

evaluating-llms-harness

Testing

This Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.

View skill

llamaguard

Other

LlamaGuard is Meta's 7-8B parameter model for moderating LLM inputs and outputs across six safety categories like violence and hate speech. It offers 94-95% accuracy and can be deployed using vLLM, Hugging Face, or Amazon SageMaker. Use this skill to easily integrate content filtering and safety guardrails into your AI applications.

View skill

langchain

Meta

LangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.

View skill