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 bnbong · MCP Server · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is FastAPI-fastkit safe to install? View the security audit →
FastAPI-fastkit: Fast, easy-to-use starter kit for new users of Python and FastAPI This project was created to speed up the configuration of the development environment needed to develop Python-based web apps for new users of Python and FastAPI. This project was inspired by the & Python Django's CLI operation. Key Features ⚡ Immediate FastAPI project creation : Super-fast FastAPI workspace & project creation via CLI, inspired by django-adm
| Stars | 51 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.8069777470496/100 |
| Last Updated | 2026-09-10 |
| Created | 2024-10-08 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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FastAPI-fastkit is <Open Source> Fast, easy-to-use starter kit for new users of Python and FastAPI. It is categorized as a MCP Server with 51 GitHub stars.
FastAPI-fastkit is primarily written in Python. It covers topics such as application, fastapi, fastapi-sqlalchemy.
You can find installation instructions and usage details in the FastAPI-fastkit GitHub repository at github.com/bnbong/FastAPI-fastkit. The project has 51 stars and 4 forks, indicating an active community.
FastAPI-fastkit is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to FastAPI-fastkit on Agent Skills Hub include magg, Agentic-AI-Pipeline, OmoiOS. 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: