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 leeguooooo · Agent Tool · ★ 374
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-usage-bar safe to install? View the security audit →
Claude Status Bar Lightweight Claude Code status bar monitor — see your rate limits, context window, and promo status at a glance. What it shows Colors: green (70%) Install One-line install (recommended) This installs the package, configures Claude Code statusLine, and sets up aliases. Restart Claude Code to see it. Package managers Then add to : Usage bash cs # show status bar (shortest alias) cs --json-output # machine-readable JSON cs --pl
| Stars | 374 |
| Forks | 24 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 76.7158329246191/100 |
| Last Updated | 2026-09-16 |
| Created | 2025-08-20 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~14k |
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claude-code-usage-bar is Lightweight Claude Code statusLine: 5h/7d rate-limit usage, reset countdowns, model + context window, prompt-cache age — one line, 3 styles × 9 themes, daemon fast-mode. It is categorized as a Agent Tool with 374 GitHub stars.
claude-code-usage-bar is primarily written in Python. It covers topics such as ai-tools, anthropic, claude.
You can find installation instructions and usage details in the claude-code-usage-bar GitHub repository at github.com/leeguooooo/claude-code-usage-bar. The project has 374 stars and 24 forks, indicating an active community.
claude-code-usage-bar is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-code-usage-bar on Agent Skills Hub include claude-pace, cux, claude-starter. 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: