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 bojieli · Codex Skill · ★ 120
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentreach safe to install? View the security audit →
AgentReach Point your coding agent at any box you can SSH into. The server never gets your agent. Why this exists Think about the last time you SSHed somewhere to fix something. A build box, a client's staging VM, a container you spun up this morning and will throw away tonight. You'd get through it faster with an agent riding along. So you install one there. That's a 300 MB Node binary on a machine that isn't yours, plus an API key pasted in so the thing can actually do anything. Now your key lives on a box where other people have root, in a shell history you won't cl
| Stars | 120 |
| Forks | 6 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 72.007002874428/100 |
| Last Updated | 2026-09-03 |
| Created | 2026-08-14 |
| Platforms | claude-code, codex, docker, go |
| Est. Tokens | ~20k |
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agentreach is AgentReach (reach): Point your coding agent at any box you can SSH into. The server never gets your agent.. It is categorized as a Codex Skill with 120 GitHub stars.
agentreach is primarily written in Go. It covers topics such as agent, ai-agents, claude-code.
You can find installation instructions and usage details in the agentreach GitHub repository at github.com/bojieli/agentreach. The project has 120 stars and 6 forks, indicating an active community.
agentreach is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentreach on Agent Skills Hub include cc-clip, pocketdev, untether. 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: