ClawPolicy is an explainable autonomous execution policy engine designed for low-touch, auditable agent execution and policy supervision.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawpolicy
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install clawpolicy using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is ClawPolicy?
ClawPolicy serves as a robust framework for managing the execution rules and guardrails of AI agents. It provides a structured way to define, track, and enforce policies through a local storage mechanism in .clawpolicy/policy/. By focusing on explainability and auditability, it allows developers to ensure that agentic workflows remain within safe boundaries while providing a clear history of policy states.
Integrating this tool via Openclaw Skills empowers developers to move from experimental agent scripts to production-ready, governed systems. Whether you are managing policy candidates or inspecting suspended actions, ClawPolicy provides the necessary governance layer for modern AI automation.
ClawPolicy Use Cases
- Establishing a canonical local policy store for autonomous AI agents.
- Tracking the lifecycle of execution policies from initial hints to archived records.
- Auditing risky or suspended agent behaviors through a dedicated supervision CLI.
- Exporting policy configurations to Markdown for documentation and compliance reviews.
How ClawPolicy Works
- The user initializes the local policy environment using the clawpolicy init command.
- AI agents generate policy hints or candidates based on their operational context.
- Developers use the CLI or Python API to review, confirm, or suspend these policies.
- The engine tracks state changes (hint to candidate to confirmed to suspended to archived) in the local store.
- Status checks and analysis commands provide real-time insight into the agent's governing rules.
ClawPolicy Setup
To install ClawPolicy, ensure you have Python 3 and pip installed. Run the following command:
python3 -m pip install clawpolicy
For advanced phase3 capabilities, use:
python3 -m pip install "clawpolicy[phase3]"
After installation, initialize the policy storage within your project directory using this skill from the Openclaw Skills collection:
clawpolicy init
ClawPolicy Data Schema & Taxonomy
ClawPolicy maintains a structured local repository to ensure transparency. The primary data is organized as follows:
| Component | Detail |
|---|---|
| Storage Path | .clawpolicy/policy/ |
| Policy States | hint, candidate, confirmed, suspended, archived |
| Interfaces | CLI (clawpolicy) and Python API (clawpolicy module) |
| Metadata | Includes timestamps, source identifiers, and execution status |
ClawPolicy Advanced Features
- Full Python API access for building custom policy confirmation logic and automated hooks.
- Markdown conversion and export tools for generating human-readable compliance reports from policy data.
- Specialized inspection tools to identify and triage risky or suspended agent executions in real-time.
- Seamless integration with the broader ecosystem of Openclaw Skills for enhanced agent governance.
SKILL.md
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