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 superagent-ai · Agent Tool · ★ 3.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is grok-cli safe to install? View the security audit →
grok-cli: an open-source coding agent for the Grok API Disclaimer: This project is community-built, open-source, and not affiliated with, endorsed by, or sponsored by xAI Corp. "Grok" is a trademark of xAI Corp. This tool uses the publicly available Grok API. An open-source terminal coding agent that connects to xAI’s Grok API — real-time X search, web search, the full Grok model lineup, sub-agents on by default, remote control via Telegram (pair once, drive the agent from your phone while the CLI runs), and a terminal UI built with Bun and OpenTUI. https://github.com/user-attachments/assets/7ca4f6df-50ca-4e9c-91b2-d4abad5c66cb Install Alternative installs (requires Bun on PATH):
| Stars | 3,481 |
| Forks | 422 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72.2658469121197/100 |
| Open Issues | 33 |
| Last Updated | 2026-07-06 |
| Created | 2025-07-14 |
| Platforms | cli, node |
| Est. Tokens | ~18k |
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grok-cli is An open-source coding agent for the Grok API. It is categorized as a Agent Tool with 3.5k GitHub stars.
grok-cli is primarily written in TypeScript. It covers topics such as agents, ai, cli.
You can find installation instructions and usage details in the grok-cli GitHub repository at github.com/superagent-ai/grok-cli. The project has 3.5k stars and 422 forks, indicating an active community.
grok-cli is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to grok-cli on Agent Skills Hub include ax, py-gpt, BaseAI. 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: