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 NYCU-Chung · MCP Server · ★ 260
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cc-statusline safe to install? View the security audit →
cc-statusline English · 繁體中文 A comprehensive statusline dashboard for Claude Code. See everything at a glance — no slash commands needed. What it shows Subagents that ran in this session — , parallel runs collapse to (running) or criti
| Stars | 260 |
| Forks | 30 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.32065535169/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-22 |
| Created | 2026-04-12 |
| Platforms | claude-code, cli, mcp, node |
| Est. Tokens | ~47k |
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cc-statusline is A comprehensive statusline dashboard for Claude Code — session info, quota bars, agent tracker, MCP health, message history, and more.. It is categorized as a MCP Server with 260 GitHub stars.
cc-statusline is primarily written in JavaScript. It covers topics such as claude-code, cli, dashboard.
You can find installation instructions and usage details in the cc-statusline GitHub repository at github.com/NYCU-Chung/cc-statusline. The project has 260 stars and 30 forks, indicating an active community.
cc-statusline is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cc-statusline on Agent Skills Hub include claude-view, ccboard, claude-powerline. 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: