typesafe-ai SKILL.md skillA

typesafe-ai from cowork-os/cowork-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add cowork-os/cowork-os/typesafe-ai@git:20260919.eb14f43

Pins git:20260919.eb14f43 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
cowork-os/cowork-os
Path
resources/skills/typesafe-ai/SKILL.md
Versions recorded
1
Latest version
git:20260919.eb14f43, committed Sep 19, 2026
Size
8,134 bytes
Repository stars
496
License
MIT

Build AI-powered software with TypeSafe System One models, including Jev, as typed judgments and probabilities for routing, ranking, extraction, verification, and other structured decisions. Use when integrating TypeSafe or replacing a semantic LLM prompt-and-parse step with a programmable decision primitive.

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

# Build with TypeSafe

This guide is bundled from [TypeSafe AI's official skill](https://github.com/typesafe-ai/skills/tree/main/skills/typesafe-ai) under its MIT license. The [live TypeSafe docs](https://docs.typesafe.ai/llms.txt) are the source of truth for current concepts, prompting guidance, API contracts, SDK usage, models, limits, and examples.

TypeSafe makes units of AI intelligence usable like programming primitives: small
judgments you can compose into larger capabilities. Its **System One models** return
fast, focused judgments that software can consume directly. **Jev** is TypeSafe's
flagship and first System One model. It understands natural language and returns
typed answers and probabilities rather than generating text or reasoning
explanations. Code owns the workflow; the model supplies programmable common sense
where ordinary code needs semantic understanding.

## Read the live docs

- Start with the [documentation index](https://docs.typesafe.ai/llms.txt) and read only relevant pages.
- Mintlify serves Markdown by appending `.md` to a page path. Follow links from the index and resolve relative links against `https://docs.typesafe.ai`.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add cowork-os/cowork-os/typesafe-ai@sha256:15e75fef57db9eb6

The line at the top of this page pins the label git:20260919.eb14f43, 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_435fyvhh5r2wgp3p.svg)](https://markdownregistry.com/a/art_435fyvhh5r2wgp3p)

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

Versions

The registry has recorded 1 version of this file, committed on Sep 19, 2026.

versioncommittedcommitsizeaudit
git:20260919.eb14f43 latest2026-09-19 eb14f43 8,134 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 (8134 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

cowork-os/cowork-os · 496 stars · license MIT · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_435fyvhh5r2wgp3p
GET https://markdownregistry.com/api/v1/resolve?ref=cowork-os/cowork-os/typesafe-ai
GET https://markdownregistry.com/api/v1/blob/15e75fef57db9eb6a72c8b870d66c859a208ab9cde433973b180031fdf77fd64

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.

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