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Policy As Code

Checked
bagelhole·vlatest·security·MIT

This skill automates policy creation & enforcement as code, streamlining governance and ensuring consistent security across environments.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add bagelhole/devops-security-agent-skills --skill policy-as-code -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

bagelhole

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Only contacts known or declared hosts: github.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    github.comsource host
  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned bagelhole/devops-security-agent-skills at 0365f57a07.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 577 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to manage and enforce infrastructure policies using code. It automates the process of defining, testing, and deploying policy rules as configuration files, ensuring consistency and reducing manual errors in cloud environments. The agent can translate natural language requests into declarative policy definitions and apply them across various resources.

When to use it

  • Automating Cloud Security: When you need to consistently enforce security best practices across your AWS, Azure, or GCP infrastructure.
  • Compliance Management: To ensure adherence to regulatory requirements (e.g., HIPAA, PCI DSS) by codifying and automating policy checks.
  • Infrastructure Drift Prevention: When you want to automatically detect and remediate deviations from defined infrastructure configurations.
  • DevSecOps Integration: To integrate security policies into the development pipeline and automate remediation of identified issues.

Key capabilities

  • Policy definition in code
  • Automated policy testing
  • Deployment of policy rules
  • Support for AWS, Azure, and GCP environments
  • Natural language to declarative policy translation

Example prompts

  • "Create a policy that requires all S3 buckets to be encrypted."
  • "Check if my Kubernetes deployments have resource limits defined."
  • "Enforce the principle of least privilege on IAM roles in AWS."

Tips & gotchas

The agent's effectiveness depends on having existing infrastructure and policy definitions. Familiarity with cloud provider specific resources (e.g., S3 buckets, Azure Resource Groups) is beneficial for crafting precise prompts.