Flagged: reads agent memory, sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by tugcantopaloglu · Agent Tool · ★ 698
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openclaw-dashboard safe to install? View the security audit →
OpenClaw Agent Dashboard A beautiful, secure, real-time monitoring dashboard for OpenClaw agents. Track sessions, monitor API usage, view costs, manage memory files, and keep tabs on system health — all in one place. 📸 Screenshots ✨ Features 🤖 Session Management - View all agent sessions with real-time activity status 📊 Rate Limit Monitoring - Track Claude and Gemini API usage against rolling windows 💰 Cost Analysis - Detailed spending breakdowns by model, session, and time period ⚡ Live Feed - Real-time stream of agent messages across all sessions 🧠 Memory Viewer - Browse and read agent memory files (MEMORY.md, HEARTBEAT.md, daily notes) 📁 Files Manager -
| Stars | 698 |
| Forks | 120 |
| Language | HTML |
| Category | Agent Tool |
| Quality Score | 67.2210812556052/100 |
| Open Issues | 5 |
| Last Updated | 2026-03-17 |
| Created | 2026-02-10 |
| Platforms | browser, claude-code |
| Est. Tokens | ~145k |
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openclaw-dashboard is 🔐 Secure, real-time monitoring dashboard for OpenClaw AI agents. Auth, TOTP MFA, cost tracking, live feed, memory browser and more.. It is categorized as a Agent Tool with 698 GitHub stars.
openclaw-dashboard is primarily written in HTML. It covers topics such as ai-agents, claude, dashboard.
You can find installation instructions and usage details in the openclaw-dashboard GitHub repository at github.com/tugcantopaloglu/openclaw-dashboard. The project has 698 stars and 120 forks, indicating an active community.
The top alternatives to openclaw-dashboard on Agent Skills Hub include openclaw-nerve, pasteguard, world-intel-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: