Leash by StrongDM wraps AI coding agents in containers, monitors their activity, and enforces policies. It benefits operations teams by securing AI agent workflows. It connects to AI agents like Claude and integrates with Cedar for policy definition.
git clone https://github.com/strongdm/leash.gitLeash by StrongDM wraps AI coding agents in containers, monitors their activity, and enforces policies. It benefits operations teams by securing AI agent workflows. It connects to AI agents like Claude and integrates with Cedar for policy definition.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/strongdm/leashCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a leash for my AI agent. I will provide the agent's name, the task, and the environment it operates in. Your job is to ensure the agent stays on task, doesn't go off the rails, and follows all safety and security guidelines. Here's the setup: Agent name: [AGENT_NAME], Task: [TASK], Environment: [ENVIRONMENT].
### Agent Leash Activation ### **Agent Name:** DataSifter **Task:** Analyze customer feedback for StrongDM **Environment:** Secure internal database **Guidelines Enforced:** - No access to sensitive customer PII - Stay focused on sentiment analysis - No speculative or hypothetical responses - Regular progress updates every 5 minutes **Current Status:** On task, analyzing feedback from Q3 2023 **Next Checkpoint:** 16:45 UTC **Safety Note:** Agent has requested access to customer support logs. Denied - this is outside scope. Redirecting to approved feedback dataset.
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