agent-kanbanOpenClaw Agent Dashboard - A Bloomberg Terminal-style web interface for real-time monitoring of all Agent status, session history, and session file sizes. Us...
Install via ClawdBot CLI:
clawdbot install dyh/agent-kanbanGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://127.0.0.1:18789/tools/invokeCalls external URL not in known-safe list
http://localhost:3100AI Analysis
The skill communicates only with the local OpenClaw Gateway API (127.0.0.1:18789) for its stated monitoring purpose and auto-loads tokens from the local user config file. There is no evidence of data exfiltration to external servers, credential harvesting, or hidden malicious instructions.
Audited Apr 17, 2026 · audit v1.0
Generated May 5, 2026
A DevOps team running dozens of AI agents for different projects (main, pmo, alpha, beta) uses Agent Kanban to monitor agent heartbeats, session activity, and file sizes in real-time. This ensures all agents are operational and helps quickly identify stalled or misconfigured agents.
Enterprise IT administrators deploy Agent Kanban to oversee hundreds of AI agents across departments. The Bloomberg-style interface provides a dense, information-rich view of agent status, session history, and file sizes, enabling rapid troubleshooting and capacity planning.
A customer support team using AI agents to handle inquiries uses Agent Kanban to watch agent online status, session history, and response file sizes. Threshold warnings on session size help prevent performance degradation and ensure SLA compliance.
Research labs running experimental AI agents use Agent Kanban to monitor session histories and file sizes (OKR.md, SOUL.md, HEARTBEAT.md). The auto-grouping by project prefix helps organize agents by experiment, and heartbeat intervals indicate agent health.
MSPs managing AI agents for multiple clients use Agent Kanban to remotely monitor agent status and session sizes. The auto-config reload and simple deployment enable quick onboarding of new agents, while token validation ensures security.
Offer a free tier of Agent Kanban for up to 10 agents with basic monitoring; charge per additional agent or for premium features like custom thresholds, extended history, and multi-user access.
Sell licenses to enterprises deploying AI agent fleets, including dedicated support, SLA guarantees, and integration with existing IT monitoring tools. Provide training and custom configuration services.
Maintain the core as open source to drive adoption, while offering a managed cloud version with high availability, backups, and advanced analytics. Monetize through hosting fees and premium plugins.
💬 Integration Tip
Deploy Agent Kanban on the same machine as the OpenClaw Gateway to auto-read the token from openclaw.json, minimizing configuration effort.
Scored Jun 29, 2026
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