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 vstorm-co · Codex Skill · ★ 1.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is full-stack-ai-agent-template safe to install? View the security audit →
Full-Stack AI Agent Template Production-ready FastAPI + Next.js project generator with AI agents, RAG, and 20+ enterprise integrations. Quick Start • Features • Demo • Documentation • Configurator • PyPI <img src="https://img.shields.io/badge/c
| Stars | 1,903 |
| Forks | 375 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.2107087062242/100 |
| Open Issues | 15 |
| Last Updated | 2026-09-16 |
| Created | 2025-12-19 |
| Platforms | docker, python |
| Est. Tokens | ~2306k |
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full-stack-ai-agent-template is Full-stack AI app generator — FastAPI + Next.js with agents, RAG, streaming, auth, and 20+ integrations out of the box.. It is categorized as a Codex Skill with 1.9k GitHub stars.
full-stack-ai-agent-template is primarily written in Python. It covers topics such as ai-agents, celery, clawdbot.
You can find installation instructions and usage details in the full-stack-ai-agent-template GitHub repository at github.com/vstorm-co/full-stack-ai-agent-template. The project has 1.9k stars and 375 forks, indicating an active community.
full-stack-ai-agent-template is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to full-stack-ai-agent-template on Agent Skills Hub include honcho, fulling, flock. 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: