by AbdelStark
Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations.
# Add to your Claude Code skills
git clone https://github.com/AbdelStark/awesome-typesafe-jevGuides for using ai agents skills like awesome-typesafe-jev.
Last scanned: 9/22/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-09-22T09:03:39.012Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how awesome-typesafe-jev compares with popular alternatives.
awesome-typesafe-jev is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by AbdelStark. Awesome Jev: a source-backed field guide to TypeSafe's System One model, with SDKs, live demos, agent tools, and independent evaluations. It has 581 GitHub stars.
Yes. awesome-typesafe-jev passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/AbdelStark/awesome-typesafe-jev" and add it to your Claude Code skills directory (see the Installation section above).
awesome-typesafe-jev is primarily written in HTML. It is open-source under AbdelStark 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-typesafe-jev against similar tools.
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One call, three typed answers. TypeSafe's documented support-ticket example shows the saved
jev-1.13.0response below. This is a published example, not a live model call. Application code still decides when to route or escalate.
| Input or answer | Documented value |
|---|---|
| State | Hi, I've been trying to connect my Stripe account for 3 days and the integration keeps failing. I'm losing sales. Please help ASAP. |
| Choice | technical · 0.85 selected probability |
| Score | 1 on a 0–2 frustration rubric (Frustrated but civil) |
| Noul | 1.0 urgency probability |
Open a live build from a preview, or read its listing first.
Three additions from 22 September 2026. These are places to explore, not a ranking or endorsement; the full listings include limitations and source links.
| I want to… | Go here |
|---|---|
| Understand the idea in 2 minutes | See where Jev fits, try the policy threshold, then read the introduction and the three primitives |
| Make my first typed call | Copy the runnable example, shape your own question, then explore the official SDKs |
| See it work live | Explore the featured builds, then browse more applications |
| Test the claims | Read what independent tests found, inspect JevBench's cross-model results, then browse independent evaluations and TypeSafe's own evals |
Download the JSON directory · Use with a coding agent · Suggest a resource · Follow updates · Join the builder community
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 updated: 2026-09-23. Links and project descriptions change; please report a stale entry.
In a support workflow, separate the work before choosing a model. This is a practical design rule based on the TypeSafe introduction linked above, not a performance claim:
| What the step needs | Use | Example |
|---|---|---|
| Apply an explicit rule to known fields | Code | Check an account flag or enforce a routing threshold. |
| Judge messy context with a bounded answer | Jev | Choose billing, technical, or other for a ticket, with probabilities. |
| Produce prose or work through an open-ended task | Text LLM | Draft the reply after the route is chosen. |
Code still validates the answer and owns the action. Measure Jev's error and abstention rates on your own cases before automating a consequential step.
One state can answer several focused questions in the same request. Pick the answer shape your code can use directly:
| Question shape | Use it for | What comes back |
|---|---|---|
| Noul | A clear yes/no claim, such as “Does this message request a refund?” | A number from 0 to 1: the probability of yes. |
| Choice | Selecting from named options, such as billing, technical, or sales. | The selected option, a probability for every option, and confidence. |
| Score | An ordered rubric, such as calm, concerned, or angry. | A position on your rubric, probabilities over its levels, and confidence. |
Ask independent questions together. Set thresholds, fallback behavior, and side effects in application code.
The typed decision is the common idea; th