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 Nanako0129 · Claude Skill · ★ 546
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is coralline safe to install? View the security audit →
coralline A Powerlevel10k-inspired statusline for Claude Code that installs itself through your AI — paste one prompt, answer a few questions about colors and layout, done. 繁體中文說明 Install (the fun way) Paste this into Claude Code: Claude will ask you to pick a theme (with previews), choose which segments you want, decide between a one-line or two-line layout, then wire everything up and verify it. No manual config editing required. What you get Gauges change color as they fill: green →
| Stars | 546 |
| Forks | 42 |
| Language | PowerShell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 70.5060443364302/100 |
| Open Issues | 7 |
| Last Updated | 2026-10-03 |
| Created | 2026-06-12 |
| Platforms | claude-code |
| Est. Tokens | ~17k |
These tools work well together with coralline for enhanced workflows:
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coralline is 🪸 Powerlevel10k-inspired statusline for Claude Code — paste one prompt and your AI interviews you, then installs it. It is categorized as a Claude Skill with 546 GitHub stars.
coralline is primarily written in PowerShell. It covers topics such as bash, claude, claude-code.
You can find installation instructions and usage details in the coralline GitHub repository at github.com/Nanako0129/coralline. The project has 546 stars and 42 forks, indicating an active community.
coralline is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to coralline on Agent Skills Hub include agent-of-empires, claude-code-statusline, claude-code.nvim. 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: