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 x1xhlol · AI Skill · ★ 142.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is system-prompts-and-models-of-ai-tools safe to install? View the security audit →
Support my work here: Bags.fm • Jupiter • Photon • DEXScreener Official CA: DEffWzJyaFRNyA4ogUox631hfHuv3KLeCcpBh2ipBAGS (on Solana) ❤️ Love when open-source tools give back to open-source repos. Kilo Code is an AI coding agent with the system prompt, source code, and agent architecture all in the open on their GitHub repo. Let’s show them some love ❤️ Special thanks to Make your LLM predictable in production <a href="https://latitud
| Stars | 142,728 |
| Forks | 34,837 |
| Category | AI Skill |
| License | GPL-3.0 |
| Quality Score | 53.5166529373048/100 |
| Open Issues | 158 |
| Last Updated | 2026-08-11 |
| Created | 2025-03-05 |
| Platforms | claude-code, vscode |
| Est. Tokens | ~16k |
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system-prompts-and-models-of-ai-tools is FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, V. It is categorized as a AI Skill with 142.7k GitHub stars.
You can find installation instructions and usage details in the system-prompts-and-models-of-ai-tools GitHub repository at github.com/x1xhlol/system-prompts-and-models-of-ai-tools. The project has 142.7k stars and 34837 forks, indicating an active community.
system-prompts-and-models-of-ai-tools is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to system-prompts-and-models-of-ai-tools on Agent Skills Hub include ui-ux-pro-max-skill, system_prompts_leaks, agents. 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: