openclaw-dashboardOpenClaw operations dashboard for sessions, usage and cost, cron runs, gateway health, DGX Spark work, Local API Hub, and opt-in meeting Copilot. Use when installing, operating, auditing, or extending the dashboard backend, frontend tabs, security model, or OpenClaw-aligned design.
Install via ClawdBot CLI:
clawdbot install jonathanjing/openclaw-dashboardGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
process.env.OPENAISends data to undocumented external endpoint (potential exfiltration)
POST → http://localhost:18790/tasks/${safeTask.id}/attachmentsPotentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
https://github.com/openclaw/openclawGenerated Mar 20, 2026
A tech startup uses the dashboard to monitor real-time AI agent sessions, track operational costs, and ensure cron job reliability. The language toggle supports international teams, while the watchdog uptime bar helps maintain service availability for critical customer-facing applications.
A research institution deploys the dashboard to analyze and optimize spending on AI providers like OpenAI and Anthropic. By enabling provider audit features, they gain insights into usage patterns and control expenses across multiple projects and departments.
A financial services firm implements the dashboard with strict security guardrails, using environment variables for tokens and restricting CORS to loopback origins. They leverage optional authentication tokens to expose the dashboard securely over internal networks without hardcoding secrets.
A software development team uses the dashboard during feature updates to api-server.js and agent-dashboard.html, following public-safety checks to prevent accidental exposure of sensitive data. The default workflow ensures minimal changes and thorough sanitization before deployment.
A media company configures the dashboard to manage task attachments from various sources like workspaces and temporary directories. By enabling specific copy flags, they streamline content workflows while maintaining security through symlink protection and opt-in access controls.
Offer the dashboard as a cloud-based service with tiered pricing based on features like advanced analytics, multi-user access, and premium support. Revenue is generated through monthly or annual subscriptions, targeting businesses needing scalable AI operations monitoring.
Sell licenses for on-premise deployment to organizations with strict data privacy requirements, such as government agencies or healthcare providers. Revenue comes from one-time license fees plus optional maintenance and support contracts for updates and troubleshooting.
Provide consulting services to customize the dashboard for specific client needs, such as integrating with existing systems or adding bespoke features. Revenue is generated through project-based fees and ongoing retainer agreements for technical assistance and optimization.
💬 Integration Tip
Start by setting minimal environment variables and enabling optional features gradually based on use case needs; always run sensitive-data checks before exposing the dashboard beyond local networks.
Scored Apr 19, 2026
Uses known external API (expected, informational)
api.anthropic.comAI Analysis
The skill's external API calls (Anthropic, GitHub) are consistent with its dashboard monitoring purpose, and the local POST endpoint is for internal task management, not exfiltration. While it accesses sensitive environment variables, this is declared for configuration and follows opt-in patterns without evidence of credential harvesting or hidden malicious instructions.
Audited Apr 16, 2026 · audit v1.0
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