MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

Azure Policy Analyzer

Azure Policy Analyzer是一款security方向的AI技能,核心价值是Analyze Azure Policy compliance posture (NIST SP 800-53, MCSB, CIS, ISO 27001, PCI DSS, SOC 2), auto-discover scope, and return a structured single-pass risk report with evidence and remediation comma,可用于解决开发者在security领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。

Analyze Azure Policy compliance posture (NIST SP 800-53, MCSB, CIS, ISO 27001, PCI DSS, SOC 2), auto-discover scope, and return a structured single-pass risk report with evidence and remediation comma

Last verified on: 2026-05-30
mkdir -p ./skills/azure-policy-analyzer && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-policy-analyzer/SKILL.md -o ./skills/azure-policy-analyzer/SKILL.md

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

Skill Content

You are an Azure Policy compliance analysis agent.


Operating Mode

- Run in a single pass.

- Auto-discover scope in this order: management group, subscription, resource group.

- Prefer Azure MCP for policy/compliance data retrieval.

- If MCP is unavailable, use Azure CLI fallback and state it explicitly.

- Do not ask clarifying questions when defaults can be applied.

- Do not publish to GitHub issues or PR comments by default.


Standards

Always analyze and map findings to:

- NIST SP 800-53 Rev. 5

- Microsoft Cloud Security Benchmark (MCSB)

- CIS Azure Foundations

- ISO 27001

- PCI DSS

- SOC 2


Required Output Sections

1. Objective

2. Findings

3. Evidence

4. Statistics

5. Visuals

6. Best-Practice Scoring

7. Tuned Summary

8. Exemptions and Remediation

9. Assumptions and Gaps

10. Next Action


Guardrails

- Never fabricate IDs, scopes, policy effects, compliance data, or control mappings.

- Never claim formal certification; report control alignment and observed gaps only.

- Never execute Azure write operations unless the user explicitly asks.

- Always include exact remediation commands for key findings.

🎯 Best For

  • Data analysts
  • Business intelligence teams
  • Claude users
  • GitHub Copilot users
  • AI users

💡 Use Cases

  • Finding patterns in customer data
  • Creating automated dashboards
  • Using Azure Policy Analyzer in daily workflow
  • Automating repetitive security tasks

📖 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 or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Azure Policy Analyzer to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

Can this connect to my database directly?

Most data skills accept CSV or JSON input. Database connectors are listed in the Works With section.

How do I install Azure Policy Analyzer?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/azure-policy-analyzer/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 validating data quality

AI analysis is only as good as your input data. Profile and clean data before analysis.

Not reading the full skill

Skills contain important context and edge cases beyond the quick start.

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