Tests authorization and policy bundles with the Open Policy Agent `/v1/data` and `/v1/compile` APIs plus `opa test` semantics. Great for agents that need to explain which Rego rules allow or deny a request before policy changes go live.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "OPA Rego Policy Bundle Tester"
slug: "opa-rego-policy-bundle-tester"
description: "Tests authorization and policy bundles with the Open Policy Agent `/v1/data` and `/v1/compile` APIs plus `opa test` semantics. Great for agents that need to explain which Rego rules allow or deny a request before policy changes go live."
github_stars: 11534
verification: "security_reviewed"
source: "https://github.com/open-policy-agent/opa"
category: "Security & Verification"
framework: "OpenClaw"
tool_ecosystem:
github_repo: "open-policy-agent/opa"
github_stars: 11534
---
# OPA Rego Policy Bundle Tester
Tests authorization and policy bundles with the Open Policy Agent `/v1/data` and `/v1/compile` APIs plus `opa test` semantics. Great for agents that need to explain which Rego rules allow or deny a request before policy changes go live.
## Installation
Requirements and caveats from upstream:
- See [Docker Hub](https://hub.docker.com/r/openpolicyagent/opa/tags/) for container images and the [GitHub releases](https://github.com/open-policy-agent/opa/releases) for binaries.
- [Docker](https://www.openpolicyagent.org/docs/docker-authorization),
Basic usage or getting-started notes:
- Write your first Rego policy with the [Rego Playground](https://play.openpolicyagent.org) or use it to share your work with others for feedback and support. Have a look at the [Access Control examples](https://play.op...
- For example, in a simple API authorization use case:
- Source: https://github.com/open-policy-agent/opa
- Extracted from upstream docs: https://raw.githubusercontent.com/open-policy-agent/opa/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/opa-rego-policy-bundle-tester/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.