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 BeaconBay · Agent Tool · ★ 1.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ck safe to install? View the security audit →
ck - Semantic Code Search ck (seek) finds code by meaning, not just keywords. It's grep that understands what you're looking for — search for "error handling" and find try/catch blocks, error returns, and exception handling code even when those exact words aren't present. 🚀 Quick Start 📚 Full Documentation — Installation guides, tutorials, feature deep-dives, and API reference ✨ Headline Fe
| Stars | 1,729 |
| Forks | 71 |
| Language | Rust |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 70.7881896020751/100 |
| Open Issues | 34 |
| Last Updated | 2026-09-17 |
| Created | 2025-08-30 |
| Platforms | rust |
| Est. Tokens | ~26k |
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ck is Local first semantic and hybrid BM25 grep / search tool for use by AI and humans!. It is categorized as a Agent Tool with 1.7k GitHub stars.
ck is primarily written in Rust. It covers topics such as grep, grep-like, rust.
You can find installation instructions and usage details in the ck GitHub repository at github.com/BeaconBay/ck. The project has 1.7k stars and 71 forks, indicating an active community.
ck is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ck on Agent Skills Hub include code2prompt, openpencil, rust-sdk. 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: