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 kydlikebtc · Agent Tool · ★ 312
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-grokbot safe to install? View the security audit →
awesome-grokbot 409 live x.ai/bot shares for Grok Bot.Every link status-checked. Every row attributed to where it came from. English | 简体中文 Grok Bot gives named AI teammates their own always-on cloud computer. This repo is not Grok Bot, not an installer, and not source co
| Stars | 312 |
| Forks | 24 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 54.8995944714245/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-20 |
| Created | 2026-09-01 |
| Platforms | python |
| Est. Tokens | ~25k |
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awesome-grokbot is 730 live x.ai/bot shares for Grok Bot — every link status-checked, every row attributed. Bilingual EN/中文 catalog with a JSON schema, CI, and a searchable site.. It is categorized as a Agent Tool with 312 GitHub stars.
awesome-grokbot is primarily written in Python. It covers topics such as agents, ai-agents, ai-tools.
You can find installation instructions and usage details in the awesome-grokbot GitHub repository at github.com/kydlikebtc/awesome-grokbot. The project has 312 stars and 24 forks, indicating an active community.
The top alternatives to awesome-grokbot on Agent Skills Hub include awesome-ai-sdks, awesome-agent-skills, awesome-ai-coding-techniques. 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: