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 qhkm · Agent Tool · ★ 647
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is zeptoclaw safe to install? View the security audit →
ZeptoClaw Fast, small, secure, and local-first personal AI assistant infrastructure. ZeptoClaw is one Rust binary for running personal AI agents locally, at the edge, or on a VPS — with tools, memory, channels, providers, and sandboxed autonomy built in. We studied th
| Stars | 647 |
| Forks | 98 |
| Language | Rust |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 72.9069323694032/100 |
| Open Issues | 46 |
| Last Updated | 2026-07-30 |
| Created | 2026-02-12 |
| Platforms | rust |
| Est. Tokens | ~2335k |
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zeptoclaw is AI coding agent — 32 tools, 9 providers, 9 channels. The agent runtime that ZeptoRT supervises.. It is categorized as a Agent Tool with 647 GitHub stars.
zeptoclaw is primarily written in Rust. It covers topics such as ai, ai-assistant, open-source.
You can find installation instructions and usage details in the zeptoclaw GitHub repository at github.com/qhkm/zeptoclaw. The project has 647 stars and 98 forks, indicating an active community.
zeptoclaw is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to zeptoclaw on Agent Skills Hub include natively-cluely-ai-assistant, daymon, claude-blog. 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: