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 EXboys · Agent Tool · ★ 164
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skilllite safe to install? View the security audit →
SkillLite 📖 Documentation | 文档 Pick your path Default (recommended): → OS-level sandbox + MCP in Cursor, Claude Desktop, OpenCode, or your own agent. You do not need the desktop app or the full SkillLite agent loop to get the core value. One repository ships several entry points. Each row links to the English hub; 中文 is
| Stars | 164 |
| Forks | 16 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63.5572444207748/100 |
| Open Issues | 80 |
| Last Updated | 2026-08-09 |
| Created | 2026-01-31 |
| Platforms | rust |
| Est. Tokens | ~19234k |
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skilllite is A lightweight secure Self-evolution engine built in Rust, featuring a built-in native system-level sandbox, zero dependencies, and fully local execution.. It is categorized as a Agent Tool with 164 GitHub stars.
skilllite is primarily written in Rust. It covers topics such as agentskills, ai-agents, ai-tools.
You can find installation instructions and usage details in the skilllite GitHub repository at github.com/EXboys/skilllite. The project has 164 stars and 16 forks, indicating an active community.
skilllite is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skilllite on Agent Skills Hub include ai-first-toolkit, code-on-incus, dexto. 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: