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 fredrikaverpil · Claude Skill · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claudeline safe to install? View the security audit →
claudeline A minimalistic and opinionated Claude Code status line. It displays the subscription plan (or API/provider), current Anthropic model, context window usage, and 5-hour/7-day quota usage as ANSI-colored progress bars. Written in Go with no external dependencies (stdlib only). [!NOTE] The 5-hour and 7-day quota bars require a Claude Code subscription (Pro, Max, or Team). They are not available for Enterprise or API key users. The bars may also disappear silently if the usage API is temporarily unavailable or rate limited — use to diagnose. Indicator legend Peak hours: 5-hour limit burns
| Stars | 55 |
| Forks | 10 |
| Language | Go |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 64.9610105795449/100 |
| Last Updated | 2026-10-03 |
| Created | 2026-02-22 |
| Platforms | claude-code, go |
| Est. Tokens | ~18k |
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claudeline is Minimalistic Go statusline for Claude Code. It is categorized as a Claude Skill with 55 GitHub stars.
claudeline is primarily written in Go. It covers topics such as claude-code.
You can find installation instructions and usage details in the claudeline GitHub repository at github.com/fredrikaverpil/claudeline. The project has 55 stars and 10 forks, indicating an active community.
claudeline is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claudeline on Agent Skills Hub include claude-gemini-mcp-slim, claudex, claude-historian-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: