Agent skill

Implementing Policy As Code With Open Policy Agent

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Implements policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper for Kubernetes and CI/CD pipelines, covering writing Rego policies, deploying OPA Gatekeeper as a Kubernetes…

Apache-2.0Auto-check: notesDevOps & Cloud

Install Implementing Policy As Code With Open Policy Agent

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-policy-as-code-with-open-policy-agent -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-policy-as-code-with-open-policy-agent --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/implementing-policy-as-code-with-open-policy-agent .claude/skills/implementing-policy-as-code-with-open-policy-agent && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
implementing-policy-as-code-with-open-policy-agent
GitHub stars
34k
Token cost
~2.6k tokens
SKILL.md length
425 words
Files
8 (incl. scripts, references, assets)
Skills in repo
637
Repo updated
First seen
Licence
Apache-2.0

At a glance

Implements policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper for Kubernetes and CI/CD pipelines, covering writing Rego policies, deploying OPA Gatekeeper as a Kubernetes…

  • Works in 5 steps: Install OPA Gatekeeper → Create Constraint Templates → Apply Constraints → …
  • Writing Rego policies
  • SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 3 more sections
  • Runs Python scripts from its folder; calls helm and brew; reaches open-policy-agent.github.io and github.com

What it does

Implementing Policy As Code With Open Policy Agent is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Implements policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper for Kubernetes and CI/CD pipelines, covering writing Rego policies, deploying OPA Gatekeeper as a Kubernetes admission controller, testing policies in development, and integrating policy evaluation into deployment pipelines. Use when writing Rego policies, deploying Gatekeeper admission control, or gating CI/CD pipelines with policy-as-code checks.

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).

It sits in DevOps & Cloud, covering CI/CD and Container orchestration. It works with Kubernetes. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Writing Rego policies
  • Deploying Gatekeeper admission control
  • Gating CI/CD pipelines with policy-as-code checks

Example prompts

  • “Use the implementing-policy-as-code-with-open-policy-agent skill to implement policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper…”
  • “/implementing-policy-as-code-with-open-policy-agent”

Requirements

  • Python 3
  • Docker

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Install OPA Gatekeeper
  2. Create Constraint Templates
  3. Apply Constraints
  4. Test Policies with conftest
  5. Integrate Policy Testing in CI/CD

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • helm
    • brew

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • open-policy-agent.github.io
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Implementing Policy As Code With Open Policy Agent loads about 2.6k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 425 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~121
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteRuns commands with sudoSKILL.md:265
    sudo mv conftest /usr/local/bin/

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 425 words, ~2,594 tokens.

Download SKILL.mdSave it as .claude/skills/implementing-policy-as-code-with-open-policy-agent/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
implementing-policy-as-code-with-open-policy-agent
description
Implements policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper for Kubernetes and CI/CD pipelines, covering writing Rego policies, deploying OPA Gatekeeper as a Kubernetes admission controller, testing policies in development, and integrating policy evaluation into deployment pipelines. Use when writing Rego policies, deploying Gatekeeper admission control, or gating CI/CD pipelines with policy-as-code checks.
domain
cybersecurity
subdomain
devsecops
tags
devsecops, cicd, opa, gatekeeper, policy-as-code, kubernetes, secure-sdlc
version
1.0.0
author
mahipal
license
Apache-2.0
nist_ai_rmf
GOVERN-1.1, MEASURE-2.7, MANAGE-3.1
nist_csf
PR.PS-01, GV.SC-07, ID.IM-04, PR.PS-04
mitre_attack
T1195, T1554, T1059.004, T1610, T1611

Implementing Policy as Code with Open Policy Agent

When to Use

  • When enforcing organizational security policies across Kubernetes clusters programmatically
  • When requiring admission control that blocks non-compliant resources from being created
  • When implementing policy governance that can be version-controlled, tested, and audited
  • When standardizing security rules across multiple clusters and environments
  • When needing a flexible policy engine that extends beyond Kubernetes to APIs and CI/CD

Do not use for vulnerability scanning (use Trivy/Checkov), for runtime threat detection (use Falco), or for network policy enforcement (use Kubernetes NetworkPolicy or Calico).

Prerequisites

  • Kubernetes cluster with admin access for Gatekeeper installation
  • Helm for Gatekeeper deployment
  • OPA CLI or conftest for local policy testing
  • Rego knowledge for policy authoring

Workflow

Step 1: Install OPA Gatekeeper
bash
# Install Gatekeeper via Helm
helm repo add gatekeeper https://open-policy-agent.github.io/gatekeeper/charts
helm install gatekeeper gatekeeper/gatekeeper \
  --namespace gatekeeper-system --create-namespace \
  --set replicas=3 \
  --set audit.replicas=1 \
  --set audit.writeToRAMDisk=true
Step 2: Create Constraint Templates
yaml
# templates/k8s-required-labels.yaml
apiVersion: templates.gatekeeper.sh/v1
kind: ConstraintTemplate
metadata:
  name: k8srequiredlabels
spec:
  crd:
    spec:
      names:
        kind: K8sRequiredLabels
      validation:
        openAPIV3Schema:
          type: object
          properties:
            labels:
              type: array
              items:
                type: string
  targets:
    - target: admission.k8s.gatekeeper.sh
      rego: |
        package k8srequiredlabels
        violation[{"msg": msg}] {
          provided := {label | input.review.object.metadata.labels[label]}
          required := {label | label := input.parameters.labels[_]}
          missing := required - provided
          count(missing) > 0
          msg := sprintf("Missing required labels: %v", [missing])
        }

---
# templates/k8s-container-limits.yaml
apiVersion: templates.gatekeeper.sh/v1
kind: ConstraintTemplate
metadata:
  name: k8scontainerlimits
spec:
  crd:
    spec:
      names:
        kind: K8sContainerLimits
      validation:
        openAPIV3Schema:
          type: object
          properties:
            cpu:
              type: string
            memory:
              type: string
  targets:
    - target: admission.k8s.gatekeeper.sh
      rego: |
        package k8scontainerlimits
        violation[{"msg": msg}] {
          container := input.review.object.spec.containers[_]
          not container.resources.limits.cpu
          msg := sprintf("Container %v has no CPU limit", [container.name])
        }
        violation[{"msg": msg}] {
          container := input.review.object.spec.containers[_]
          not container.resources.limits.memory
          msg := sprintf("Container %v has no memory limit", [container.name])
        }

---
# templates/k8s-block-privileged.yaml
apiVersion: templates.gatekeeper.sh/v1
kind: ConstraintTemplate
metadata:
  name: k8sblockprivileged
spec:
  crd:
    spec:
      names:
        kind: K8sBlockPrivileged
  targets:
    - target: admission.k8s.gatekeeper.sh
      rego: |
        package k8sblockprivileged
        violation[{"msg": msg}] {
          container := input.review.object.spec.containers[_]
          container.securityContext.privileged == true
          msg := sprintf("Privileged container not allowed: %v", [container.name])
        }
        violation[{"msg": msg}] {
          container := input.review.object.spec.initContainers[_]
          container.securityContext.privileged == true
          msg := sprintf("Privileged init container not allowed: %v", [container.name])
        }
Step 3: Apply Constraints
yaml
# constraints/require-labels.yaml
apiVersion: constraints.gatekeeper.sh/v1beta1
kind: K8sRequiredLabels
metadata:
  name: require-team-labels
spec:
  enforcementAction: deny
  match:
    kinds:
      - apiGroups: [""]
        kinds: ["Namespace"]
      - apiGroups: ["apps"]
        kinds: ["Deployment", "StatefulSet"]
    excludedNamespaces:
      - kube-system
      - gatekeeper-system
  parameters:
    labels:
      - "team"
      - "environment"
      - "cost-center"

---
# constraints/block-privileged.yaml
apiVersion: constraints.gatekeeper.sh/v1beta1
kind: K8sBlockPrivileged
metadata:
  name: block-privileged-containers
spec:
  enforcementAction: deny
  match:
    kinds:
      - apiGroups: [""]
        kinds: ["Pod"]
      - apiGroups: ["apps"]
        kinds: ["Deployment", "DaemonSet", "StatefulSet"]
    excludedNamespaces:
      - kube-system
Step 4: Test Policies with conftest
bash
# Install conftest
brew install conftest

# Test Kubernetes manifests against OPA policies locally
conftest test deployment.yaml --policy policies/ --output json

# Test Terraform against OPA policies
conftest test terraform/main.tf --policy policies/terraform/ --parser hcl2

# Test Dockerfiles
conftest test Dockerfile --policy policies/docker/
rego
# policies/kubernetes/deny_latest_tag.rego
package kubernetes

deny[msg] {
  input.kind == "Deployment"
  container := input.spec.template.spec.containers[_]
  endswith(container.image, ":latest")
  msg := sprintf("Container %v uses :latest tag. Pin to specific version.", [container.name])
}

deny[msg] {
  input.kind == "Deployment"
  container := input.spec.template.spec.containers[_]
  not contains(container.image, ":")
  msg := sprintf("Container %v has no tag. Pin to specific version.", [container.name])
}
Step 5: Integrate Policy Testing in CI/CD
yaml
# .github/workflows/policy-test.yml
name: Policy Validation

on:
  pull_request:
    paths: ['k8s/**', 'terraform/**', 'policies/**']

jobs:
  conftest:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Install conftest
        run: |
          wget -q https://github.com/open-policy-agent/conftest/releases/download/v0.50.0/conftest_0.50.0_Linux_x86_64.tar.gz
          tar xzf conftest_0.50.0_Linux_x86_64.tar.gz
          sudo mv conftest /usr/local/bin/
      - name: Test K8s manifests
        run: conftest test k8s/**/*.yaml --policy policies/kubernetes/ --output json
      - name: Test Terraform
        run: conftest test terraform/*.tf --policy policies/terraform/ --parser hcl2

Key Concepts

TermDefinition
OPAOpen Policy Agent — general-purpose policy engine using Rego language for policy decisions
RegoOPA's declarative query language for writing policy rules
GatekeeperKubernetes-native OPA integration implementing admission control via ConstraintTemplates
ConstraintTemplateCRD defining the Rego policy logic and parameters schema for a class of constraints
ConstraintInstance of a ConstraintTemplate with specific parameters and scope (which resources to check)
Admission ControllerKubernetes component that intercepts API requests before persistence and can allow or deny them
conftestCLI tool for testing structured data (YAML, JSON, HCL) against OPA policies
Show full SKILL.md (189 more words)Show less

Tools & Systems

  • Open Policy Agent (OPA): General-purpose policy engine for unified policy enforcement
  • Gatekeeper: Kubernetes admission controller built on OPA with CRD-based configuration
  • conftest: Testing framework for OPA policies against configuration files
  • Kyverno: Alternative Kubernetes policy engine using YAML-based policies (no Rego required)
  • Styra DAS: Commercial OPA management platform with policy authoring, testing, and distribution

Common Scenarios

Scenario: Enforcing Container Security Standards Across Clusters

Context: Multiple development teams deploy to shared Kubernetes clusters. Some teams run privileged containers and images without resource limits, causing security and stability issues.

Approach:

  1. Deploy Gatekeeper on all clusters via GitOps (Helm chart in a FluxCD repository)
  2. Create ConstraintTemplates for: no privileged containers, required resource limits, required labels, no latest tag
  3. Start with enforcementAction: warn to identify violations without blocking deployments
  4. Notify teams of violations and provide a 2-week remediation window
  5. Switch to enforcementAction: deny after the remediation period
  6. Add excludedNamespaces for kube-system and monitoring namespaces

Pitfalls: Deploying Gatekeeper with deny mode immediately can break existing workloads. Always start with warn mode. Overly restrictive policies without exemptions for system namespaces can prevent cluster components from functioning.

Output Format

OPA Policy Evaluation Report
==============================
Cluster: production-east
Date: 2026-02-23
Gatekeeper Version: 3.16.0

CONSTRAINT SUMMARY:
  K8sRequiredLabels:        12 violations (warn)
  K8sBlockPrivileged:        0 violations (deny)
  K8sContainerLimits:        8 violations (deny)
  K8sBlockLatestTag:         3 violations (deny)

BLOCKED DEPLOYMENTS (deny):
  [K8sContainerLimits] deployment/api-server in ns/payments
    - Container 'api' has no memory limit
  [K8sBlockLatestTag] deployment/frontend in ns/web
    - Container 'nginx' uses :latest tag

AUDIT VIOLATIONS (warn):
  [K8sRequiredLabels] namespace/staging
    - Missing labels: {cost-center}

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references, assets) in skills/implementing-policy-as-code-with-open-policy-agent of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • assets/template.md
  • references/api-reference.md
  • references/standards.md
  • references/workflows.md
  • scripts/agent.py
  • scripts/process.py

Open the folder on GitHubat commit 54a7988

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Works with

Categories

Questions about Implementing Policy As Code With Open Policy Agent

What does Implementing Policy As Code With Open Policy Agent do?

Implements policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper for Kubernetes and CI/CD pipelines, covering writing Rego policies, deploying OPA Gatekeeper as a Kubernetes…. Implementing Policy As Code With Open Policy Agent is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Implements policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper for Kubernetes and CI/CD pipelines, covering writing Rego policies, deploying OPA Gatekeeper as a Kubernetes admission controller, testing policies in development, and integrating policy evaluation into deployment pipelines.

When should I use Implementing Policy As Code With Open Policy Agent?

Implementing Policy As Code With Open Policy Agent fits situations like: writing Rego policies; deploying Gatekeeper admission control; gating CI/CD pipelines with policy-as-code checks.

How do I install Implementing Policy As Code With Open Policy Agent in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-policy-as-code-with-open-policy-agent -a claude-code`. Or copy the skill folder (skills/implementing-policy-as-code-with-open-policy-agent in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-policy-as-code-with-open-policy-agent in your project. Claude Code loads it when a task matches its description.

How do I install Implementing Policy As Code With Open Policy Agent in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-policy-as-code-with-open-policy-agent -a codex`. Or copy the skill folder (skills/implementing-policy-as-code-with-open-policy-agent in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-policy-as-code-with-open-policy-agent in your project. Codex loads it when a task matches its description.

Can I use Implementing Policy As Code With Open Policy Agent in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-policy-as-code-with-open-policy-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-policy-as-code-with-open-policy-agent, .gemini/skills/implementing-policy-as-code-with-open-policy-agent, .github/skills/implementing-policy-as-code-with-open-policy-agent and .opencode/skills/implementing-policy-as-code-with-open-policy-agent in your project.

What does Implementing Policy As Code With Open Policy Agent need to run?

Going by SKILL.md and its folder, Implementing Policy As Code With Open Policy Agent needs Python for the scripts in its folder and the command-line tools its instructions call (helm and brew). Our summary lists: Python 3; Docker.

Does Implementing Policy As Code With Open Policy Agent access the network?

SKILL.md names 2 domains. In commands or code: open-policy-agent.github.io and github.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Implementing Policy As Code With Open Policy Agent safe to install?

Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Implementing Policy As Code With Open Policy Agent use?

Implementing Policy As Code With Open Policy Agent is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Implementing Policy As Code With Open Policy Agent use?

About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Implementing Policy As Code With Open Policy Agent?

Skills that share tags, products or a category with Implementing Policy As Code With Open Policy Agent: Devops Engineer (Yikai-Liao/symusic, 189 stars), Data Processing (aiskillstore/marketplace, 430 stars), Devops Engineer Agent (peterfei/ai-agent-team, 441 stars) and KubeSphere DevOps Overview (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementing Policy As Code With Open Policy Agent?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,922 GitHub stars. The repository holds 637 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.