by Amal-David
Jev demos, projects, SDKs and skills, with source links and a curated X gallery.
# Add to your Claude Code skills
git clone https://github.com/Amal-David/awesome-jevSee how awesome-jev compares with popular alternatives.
awesome-jev is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Amal-David. Jev demos, projects, SDKs and skills, with source links and a curated X gallery. It has 202 GitHub stars.
awesome-jev's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/Amal-David/awesome-jev" and add it to your Claude Code skills directory (see the Installation section above).
awesome-jev is primarily written in Python. It is open-source under Amal-David on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh awesome-jev against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
The deep catalog scan for this skill is still queued. Run an instant dependency check now instead.
Jev is TypeSafe's System One model for probability-based yes/no judgments, choices, and scores rather than generated text.
Check permissions and data handling before running a project. Source review is not a runtime test or a security audit.
Start with the quick-start example, then build a typed classifier, use Jev in an agent, or explore a local alternative. The source notes record setup, privacy, and evidence limits for the selections below.
A few examples to watch before digging into the code. These are creator recordings and publisher previews, not independent benchmarks. Linked previews open the original recording or post.
https://github.com/user-attachments/assets/81650587-e3f1-4655-8213-ed5f6e120e9a
The full creator gallery retains the other videos, images, and attribution. Browse the X index, OpenRouter roundup, or computer-use comparison for more examples and limitations.