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 liorwn · Agent Tool · ★ 213
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claudetop safe to install? View the security audit →
claudetop You're spending $20/day on Claude Code and can't see it. claudetop shows you exactly where your tokens and dollars go — in real time. The problem Claude Code doesn't show you what you're spending. You finish a session, check your billing dashboard, and discover a $65 charge for what felt like 30 minutes of work. You have no idea which session caused it, which model was wasteful, or whether your cache was even working. I built claudetop after noticing my model estimate showed $10 but the actual bill was $65. Turns out, compaction was hiding 80% of my t
| Stars | 213 |
| Forks | 10 |
| Language | Shell |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.1985392652909/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-07 |
| Created | 2026-03-14 |
| Platforms | claude-code, cli |
| Est. Tokens | ~13k |
These tools work well together with claudetop for enhanced workflows:
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claudetop is htop for your Claude Code sessions — real-time cost, cache efficiency, model comparison, and smart alerts. It is categorized as a Agent Tool with 213 GitHub stars.
claudetop is primarily written in Shell. It covers topics such as ai-tools, anthropic, claude.
You can find installation instructions and usage details in the claudetop GitHub repository at github.com/liorwn/claudetop. The project has 213 stars and 10 forks, indicating an active community.
claudetop is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claudetop on Agent Skills Hub include ClaudeCodeStatusLine, toktrack, .claude. 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: