No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by mudrii · Codex Skill · ★ 454
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openclaw-dashboard safe to install? View the security audit →
OpenClaw Dashboard A beautiful, zero-dependency command center for OpenClaw AI agents. Why This Exists When you run OpenClaw seriously — multiple agents, dozens of cron jobs, sub-agents spawning sub-agents, several Telegram groups and Whatsapp, Slack, and Discord channels, 10+ models, multiple agents and sub-agents — information gets scattered fast. The problem: there was no single place to answer the obvious questions: Is my gateway actually running right now? How much have I spent today, and which model is burning the most? Which cron jobs ran, which failed, and when does the next one fire? What sessions are active and how much context are they consuming? Are my sub-agents doing useful work or spinning in circles? What's the cost trend over the last 7 days — am I accelerating? The only way to answer these was digging through log files, running CLI commands, and mentally stitching together a picture from 5 different sources. That friction adds up. The solution: a single local page that collects everything in one place — gateway health, costs, cron status, active sessions, sub-agent runs, model usage, git log — refreshed automatically, no login, no cloud, no external dependencies.
| Stars | 454 |
| Forks | 80 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.648760275468/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-07 |
| Created | 2026-02-06 |
| Platforms | go |
| Est. Tokens | ~21k |
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openclaw-dashboard is A beautiful, zero-dependency command center for OpenClaw AI agents. It is categorized as a Codex Skill with 454 GitHub stars.
openclaw-dashboard is primarily written in Go. It covers topics such as ai-agents, cost-tracking, dashboard.
You can find installation instructions and usage details in the openclaw-dashboard GitHub repository at github.com/mudrii/openclaw-dashboard. The project has 454 stars and 80 forks, indicating an active community.
openclaw-dashboard is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openclaw-dashboard on Agent Skills Hub include clawmetry, claude-view, ccboard. 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: