# Adaptive Enforcement Lab Claude Skills Policy As Code End To End Enforcement

> Policy-as-Code: End-to-End Enforcement

- Skill: `tomevault-io/adaptive-enforcement-lab-claude-skills-policy-as-code-end-to` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/adaptive-enforcement-lab-claude-skills-policy-as-code-end-to`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/adaptive-enforcement-lab-claude-skills-policy-as-code-end-to/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/adaptive-enforcement-lab-claude-skills-policy-as-code-end-to

---


# Policy-as-Code: End-to-End Enforcement

## When to Use This Skill

Policy-as-Code ensures compliance through automated enforcement at three critical checkpoints:

```mermaid
graph LR
    A[Local Development] -->|Push Code| B[CI Pipeline]
    B -->|Deploy| C[Runtime Admission]

    A -->|policy-platform container| A1[Kyverno CLI]
    B -->|policy-platform container| B1[Kyverno CLI]
    C -->|Kyverno controller| C1[Admission Webhook]

    %% Ghostty Hardcore Theme
    style A fill:#a7e22e,color:#1b1d1e
    style B fill:#a7e22e,color:#1b1d1e
    style C fill:#65d9ef,color:#1b1d1e

```

**The Core Principle**: Same policies, three enforcement points. Zero gaps.

---


## Prerequisites

- Kubernetes cluster (for runtime deployment)
- Container runtime (Docker/Podman for local dev)
- CI platform (GitHub Actions, Bitbucket Pipelines, GitLab CI)
- Basic Kyverno knowledge (see [Kyverno guide](kyverno/index.md))

---


## Implementation

> **Start Local, Scale Up**
>
> Test policies locally first. Fix violations in seconds, not hours. Only after local validation works should you move to CI integration and runtime deployment.
>

**Step 1**: Run policies locally

```bash
docker run policy-platform:latest \
  kyverno apply /repos/security-policy/ \
  --resource deployment.yaml
```

**Step 2**: Add to CI pipeline

```yaml
- name: Policy Check
  image: policy-platform:latest
  script:
    - kyverno apply /repos/security-policy/ --resource app.yaml
```

**Step 3**: Deploy Kyverno to cluster

```bash
helm install kyverno kyverno/kyverno -f kyverno-values.yaml
helm install policy-reporter policy-reporter/policy-reporter
```

---


## Key Principles

### 1. Single Source of Truth

Policies live in Git repositories. Everything derives from there.

### 2. Container-Based Distribution

One container runs everywhere. No "works on my machine."

### 3. Progressive Enforcement

Local (warn) → CI (fail) → Runtime (block).

### 4. Separation of Concerns

- **Policy repos**: Define rules
- **Policy-platform**: Package and distribute
- **Kyverno**: Enforce at runtime

---


## Examples

See [examples.md](examples.md) for code examples.


## Full Reference

See [reference.md](reference.md) for complete documentation.


## Related Patterns

- SDLC Hardening
- Kyverno Implementation
- Pre-commit Hooks
- CI/CD Patterns

## References

- [Source Documentation](https://adaptive-enforcement-lab.com/enforce/policy-as-code/)
- [AEL Enforce](https://adaptive-enforcement-lab.com/enforce/)

---
> Converted and distributed by [TomeVault](https://tomevault.io/claim/adaptive-enforcement-lab) — claim your Tome and manage your conversions.
<!-- tomevault:4.0:skill_md:2026-04-15 -->