fleetMulti-agent fleet management for OpenClaw, Claude Code, Codex, Cursor, Windsurf, Gemini CLI, and custom agent stacks. One CLI to monitor, manage, and orchest...
Install via ClawdBot CLI:
clawdbot install oguzhnatly/fleetGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
report → https://github.com/openclaw/openclawPotentially destructive shell commands in tool definitions
curl https://pyenv.run \| bashAccesses system directories or attempts privilege escalation
/proc/Calls external URL not in known-safe list
https://github.com/oguzhnatly/fleet.gitGenerated Mar 21, 2026
An AI coordinator uses fleet to monitor multiple agent gateways running automated tests and deployments. It dispatches tasks to agents based on trust scores, ensuring reliable agents handle critical stages like production deployments, while less reliable ones run unit tests. The coordinator autonomously checks CI status and health, providing real-time fleet reports to the operator.
In a support team, fleet coordinates AI agents that handle incoming tickets via Linear API integration. The coordinator assigns tickets to agents based on reliability scores, dispatches parallel tasks for high-volume periods, and watches agent sessions to ensure timely resolutions. It runs health checks and logs performance for operator review.
A research lab uses fleet to manage a fleet of AI agents processing large datasets. The coordinator dispatches analysis tasks to agents, monitors their progress via sitrep commands, and uses trust scoring to assign complex computations to the most reliable agents. It backs up configurations and logs results autonomously.
An e-commerce platform employs fleet to coordinate agents that sync inventory across multiple warehouses and online stores. The coordinator dispatches tasks to update stock levels, checks agent health to prevent data inconsistencies, and uses fleet reports to identify bottlenecks. It operates locally with operator-configured endpoints for external APIs.
A security operations center uses fleet to manage AI agents scanning network endpoints for threats. The coordinator dispatches monitoring tasks, watches agent sessions for anomalies, and uses trust scores to prioritize alerts from reliable agents. It runs periodic health checks and logs incidents for forensic analysis.
Offer fleet as a cloud-based service where businesses pay a subscription to manage their AI agent fleets. Revenue comes from tiered plans based on the number of agents, features like advanced analytics, and premium support. Integration with existing tools like GitHub and Linear drives adoption.
Provide professional services to help organizations deploy and customize fleet for their specific use cases. Revenue is generated through project-based fees, training workshops, and ongoing maintenance contracts. This model targets industries needing tailored fleet solutions.
Distribute fleet as open-source software while monetizing premium extensions like enhanced security modules, advanced reporting dashboards, or enterprise-grade support. Revenue streams include one-time purchases for extensions and annual support subscriptions.
💬 Integration Tip
Ensure all required binaries (bash, python3, curl) are installed and properly configured before use, and set up environment variables like FLEET_CONFIG for custom paths to avoid conflicts.
Scored Apr 19, 2026
Uses known external API (expected, informational)
api.github.comAI Analysis
The skill's external communications are limited to GitHub for installation/updates and a documented, optional Linear API integration, which aligns with its stated purpose. While it has broad local file read permissions and uses shell commands, these are for managing local agent state and configuration, with no evidence of hidden instructions, credential harvesting, or obfuscation.
Audited Apr 17, 2026 · audit v1.0
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