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 Ivy-Interactive · Agent Tool · ★ 434
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Ivy-Framework safe to install? View the security audit →
Build Full-Stack Applications in Pure C\# Ivy is a modern C# framework that lets you build reactive full-stack web applications entirely in pure C# - using familiar React-style components, hooks, and declarative patterns. No frontend/backend split, no HTML/CSS/JS - just write type-safe C# code and
| Stars | 434 |
| Forks | 53 |
| Language | C# |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 70.8789741179948/100 |
| Open Issues | 24 |
| Last Updated | 2026-09-13 |
| Created | 2025-04-28 |
| Platforms | aws, dotnet |
| Est. Tokens | ~19k |
These tools work well together with Ivy-Framework for enhanced workflows:
Looking for a Ivy-Framework alternative? If you're comparing Ivy-Framework with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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Ivy-Framework is The ultimate framework for building internal tools with LLM code generation by unifying front-end and back-end into a single C# codebase.. It is categorized as a Agent Tool with 434 GitHub stars.
Ivy-Framework is primarily written in C#. It covers topics such as admin-panel, aws, azure.
You can find installation instructions and usage details in the Ivy-Framework GitHub repository at github.com/Ivy-Interactive/Ivy-Framework. The project has 434 stars and 53 forks, indicating an active community.
Ivy-Framework is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Ivy-Framework on Agent Skills Hub include Halberd, terrashark, azure-ai-travel-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: