awesome-typesafe — security grade SAFE, quality 61/100

Security audit verdict: SAFE · quality 61/100

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 AbdelStark · Agent Tool · ★ 372

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

🔒 Is awesome-typesafe safe to install? View the security audit →

About awesome-typesafe

Awesome TypeSafe A curated list of official resources and community projects for TypeSafe, System One models, and Jev. TypeSafe's Jev returns typed, probabilistic decisions instead of generated text. This list focuses on the things you can use to understand that model shape, build with it, test its limits, and reproduce community experiments. Independent community project. This repository is not affiliated with or endorsed by TypeSafe AI. Community entries are labeled by section; inclusion is not a claim that TypeSafe has reviewed or approved them. Last reviewed: 2026-09-17. Jev and its ecosystem are moving quickly; please open a pull request when something changes. Contents Start here Official resources Product and documentation SDKs and developer tools Concepts, patterns, and cookbooks Research and writing [Community and updates]

ai-agentsawesome-listjevllmmachine-learningstructured-outputsystem-one-modelstypesafe

Quick Facts

Stars372
Forks60
LanguageCSS
CategoryAgent Tool
LicenseMIT
Quality Score60.9937844662999/100
Open Issues2
Last Updated2026-09-20
Created2026-09-17
Est. Tokens~19k

awesome-typesafe alternative? Top 6 similar tools

Looking for a awesome-typesafe alternative? If you're comparing awesome-typesafe 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.

  • awesome-jev by cobanov · ⭐ 242

    A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions.

  • awesome-jev-gallery by OmniJev · ⭐ 76

    🔥🔥 Papers, open reproductions and independent evaluations behind System One models and Jev.

  • awesome-ai-sdks by e2b-dev · ⭐ 1.2k

    A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonom

  • awesome-jev-by-typesafe by Anil-matcha · ⭐ 667

    Evidence-backed use cases, patterns, prompts, and starter code for TypeSafe Jev — a System One model for fast,

  • awesome-jev by yibie · ⭐ 496

    A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model

  • SimplerLLM by hassancs91 · ⭐ 219

    Python library for building with LLMs. One interface across 11 providers (OpenAI, Anthropic, Gemini, DeepSeek,

More Agent Tool Tools

Explore other popular agent tool tools:

View all Agent Tool tools →

Popular CSS Agent Tools

Frequently Asked Questions

What is awesome-typesafe?

awesome-typesafe is A curated list of official resources and community projects for TypeSafe, System One models, and Jev.. It is categorized as a Agent Tool with 372 GitHub stars.

What programming language is awesome-typesafe written in?

awesome-typesafe is primarily written in CSS. It covers topics such as ai-agents, awesome-list, jev.

How do I install or use awesome-typesafe?

You can find installation instructions and usage details in the awesome-typesafe GitHub repository at github.com/AbdelStark/awesome-typesafe. The project has 372 stars and 60 forks, indicating an active community.

What license does awesome-typesafe use?

awesome-typesafe is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to awesome-typesafe?

The top alternatives to awesome-typesafe on Agent Skills Hub include awesome-jev, awesome-jev-gallery, awesome-ai-sdks. 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:

View on GitHub → Browse Agent Tool tools