building-with-typesafe-jev SKILL.md skillA

building-with-typesafe-jev from aaddrick/building-with-typesafe-jev is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add aaddrick/building-with-typesafe-jev/building-with-typesafe-jev@git:20260927.5df56aa

Pins git:20260927.5df56aa in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
aaddrick/building-with-typesafe-jev
Path
skills/building-with-typesafe-jev/SKILL.md
Versions recorded
2
Latest version
git:20260927.5df56aa, committed Sep 27, 2026
First version recorded
Sep 27, 2026
Size
11,944 bytes
Repository stars
144
License
MIT

Use when code needs a judgment about natural language that rules or regex cannot make (classify, route, triage, moderate, score, rank, match, dedupe, filter, extract, verify, or gate an action), when brainstorming where AI could fit in an app, when an LLM call exists only to pick a label, score, or yes/no, or when code uses TypeSafe AI, Jev, System One, typesafe-sdk, or @typesafe-ai/sdk.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Building with TypeSafe Jev

## Overview

Jev is a **System One model**: it takes a `state` plus named, typed questions and returns typed answers with calibrated probabilities. It never generates text. **Code owns the workflow. Jev supplies narrow snap judgments.** It is not a chat or coding LLM and cannot power a coding agent.

**Before you design anything new, check prior art:** open `prior-art/INDEX.md`. It maps intents (control loop, gate, rerank, stream filter, incremental, agent memory, LLM pairing, and more) to shape files. Each shape file has a code sketch, field lessons, and linked community projects. Or grep `prior-art/` for a domain word. It also lists the known bad fits.

Exact request/response shapes, SDK signatures, limits, and errors: see `api-reference.md`. It ends with a map of which live docs page to read for which task. Patterns and the cookbook index: see `patterns.md`. The live docs win on conflict: fetch `https://docs.typesafe.ai/llms.txt`, and append `.md` to any page path. Do not guess field names. Check them there. If the docs cannot be reached, read the installed SDK's types, tell the user you did, and do not invent details that depend on the version.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add aaddrick/building-with-typesafe-jev/building-with-typesafe-jev@sha256:ef903996215da468

The line at the top of this page pins the label git:20260927.5df56aa, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_aibrdq7tnfdqzo3s.svg)](https://markdownregistry.com/a/art_aibrdq7tnfdqzo3s)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, all committed on Sep 27, 2026.

versioncommittedcommitsizeaudit
git:20260927.5df56aa latest2026-09-27 5df56aa 11,944 BA view · diff
git:20260927.a1c12182026-09-27 a1c1218 13,842 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11944 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

aaddrick/building-with-typesafe-jev · 144 stars · license MIT · pushed 2026-10-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_aibrdq7tnfdqzo3s
GET https://markdownregistry.com/api/v1/resolve?ref=aaddrick/building-with-typesafe-jev/building-with-typesafe-jev
GET https://markdownregistry.com/api/v1/blob/ef903996215da4689c1bc49494aa30bc2562b304045a346b08d3c11ca8a39167

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

Browse by kind, by grade A, or by owner.