python-samples-fastapi-restful — security grade SAFE, quality 77/100

Security audit verdict: SAFE · quality 77/100

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 nanotaboada · Claude Skill · ★ 137

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is python-samples-fastapi-restful safe to install? View the security audit →

About python-samples-fastapi-restful

🧪 RESTful API with Python 3 and FastAPI [

api-developmentbackendclaude-codecontinuous-deliverycontinuous-integrationconventional-commitsdockerdocker-composefastapigithub-actions

Quick Facts

Stars137
Forks24
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score76.9121240619864/100
Open Issues11
Last Updated2026-08-30
Created2021-08-16
Platformsclaude-code, docker, python
Est. Tokens~16k

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Frequently Asked Questions

What is python-samples-fastapi-restful?

python-samples-fastapi-restful is 🧪 Proof of Concept for a RESTful API built with Python 3 and FastAPI. It is categorized as a Claude Skill with 137 GitHub stars.

What programming language is python-samples-fastapi-restful written in?

python-samples-fastapi-restful is primarily written in Python. It covers topics such as api-development, backend, claude-code.

How do I install or use python-samples-fastapi-restful?

You can find installation instructions and usage details in the python-samples-fastapi-restful GitHub repository at github.com/nanotaboada/python-samples-fastapi-restful. The project has 137 stars and 24 forks, indicating an active community.

What license does python-samples-fastapi-restful use?

python-samples-fastapi-restful is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to python-samples-fastapi-restful?

The top alternatives to python-samples-fastapi-restful on Agent Skills Hub include Agentic-AI-Pipeline, magg, pydantic-ai-backend. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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