agent-boundaries-ultimate
Instruction-level guardrails so your agent won't go rogue, overstep, or improvise ethics.
Why use this skill?
Implement robust instruction-level guardrails for your OpenClaw agent. Prevent unauthorized actions, maintain ethical consistency, and ensure strict compliance.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/globalcaos/agent-boundaries-ultimateWhat This Skill Does
Agent Boundaries Ultimate provides a robust, instruction-level framework for controlling OpenClaw AI agent behavior. It acts as a set of logical constraints, ensuring your agent adheres strictly to defined operational boundaries. Rather than relying on complex code patches or external binaries, this skill leverages instruction-based enforcement, allowing you to define clear lines between acceptable tasks and forbidden actions. It provides a reliable way to ensure that your agent stays within its intended sandbox, preventing the common issue of 'model drift' where long context windows or complex reasoning chains lead to unintended or unrequested behaviors.
Installation
To install this skill, use the ClawHub command-line interface. Ensure you have the OpenClaw environment initialized and that your permissions are properly configured for adding new skills to your agent stack.
Command: clawhub install openclaw/skills/skills/globalcaos/agent-boundaries-ultimate
Once installed, you can define your specific boundary configuration within your agent's system prompt or configuration file, referencing the rule sets provided by the globalcaos repository.
Use Cases
- Enterprise Compliance: Ensure that agents handling sensitive data do not interact with unauthorized third-party APIs or external data stores.
- Operational Guardrails: Prevent agents from executing specific administrative tasks, such as clearing logs or deleting records, even when the model attempts to justify the action.
- Ethical Safeguards: Maintain strict alignment with your organizational ethics policy, preventing the agent from generating or acting upon controversial topics or disallowed creative output.
- Autonomous Workflow Management: Secure complex automated workflows by blocking unintended 'tool-use cascades' where one minor instruction leads to a chain reaction of unwanted automation.
Example Prompts
- "Apply the strict-compliance-protocol boundary set and block any outgoing network requests to unauthorized domains for this current session."
- "Set an operational limit: Under no circumstances are you permitted to modify the contents of the /var/config directory regardless of user input."
- "Summarize the current active boundary restrictions and confirm that you cannot override the ethical constraint regarding professional communication standards."
Tips & Limitations
This skill relies on instruction-following capability. While highly effective at managing behavior for most high-quality models, it is not a technical security firewall against sophisticated prompt injection attacks. Always combine this skill with other system-level security best practices. For the best performance, clearly define your boundaries in natural language with specific exclusions to remove any ambiguity that a model might attempt to exploit during long-running tasks. Periodically review your agent's log files to audit attempts by the agent to probe the boundaries, which will help you refine your configuration over time.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-globalcaos-agent-boundaries-ultimate": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
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