typesafe-ai SKILL.md skillA

typesafe-ai from svngoku/coding-agents-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add svngoku/coding-agents-skills/typesafe-ai@git:20261025.1ad08e0

Pins git:20261025.1ad08e0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
svngoku/coding-agents-skills
Path
skills/typesafe-ai/SKILL.md
Versions recorded
1
Latest version
git:20261025.1ad08e0, committed Oct 25, 2026
Size
11,408 bytes
Repository stars
12
License
MIT

Use this skill to design and integrate typed judgments with TypeSafe's Jev models. Use when working with Jev/System One, Choice, Score, Noul, experimental Box, or the TypeSafe API and SDKs. Also trigger for semantic routing, extraction, ranking, confidence policies, and evidence-based review.

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 and Jev

Jev supplies bounded semantic judgments that code can branch on, rank, and combine.
It returns typed answers and probabilities, not generated explanations.
**Code owns exact computation, policy, authorization, and execution.**

## When to Use / Not Use

Use this skill to design, integrate, troubleshoot, or evaluate Jev decisions.
Routing, extraction, ranking, verification, classification, and interactive
experiences are starting points, not an exhaustive application list.

A completed integration has a documented interface, evidence-bearing state,
well-scoped questions, response handling, an explicit decision policy, and relevant
verification. A review has evidence supporting its bounded claims, not just a
supportive model number.

Do not replace arithmetic, exact lookups, parsing, date assembly, permission
checks, or schema validation with semantic inference. Use a generative model when
the required output is open-ended prose or code rather than a typed judgment.
Applicable project/personal instructions can separately require a Jev review.

## Quick Reference

**Live official docs are the source of truth.** Start with the official index in
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add svngoku/coding-agents-skills/typesafe-ai@sha256:be9e89e261778efd

The line at the top of this page pins the label git:20261025.1ad08e0, 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_7ffhre74kuahen6x.svg)](https://markdownregistry.com/a/art_7ffhre74kuahen6x)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 25, 2026.

versioncommittedcommitsizeaudit
git:20261025.1ad08e0 latest2026-10-25 1ad08e0 11,408 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 (11408 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

svngoku/coding-agents-skills · 12 stars · license MIT · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_7ffhre74kuahen6x
GET https://markdownregistry.com/api/v1/resolve?ref=svngoku/coding-agents-skills/typesafe-ai
GET https://markdownregistry.com/api/v1/blob/be9e89e261778efd580832dfa13d95089f1d1ef0b8b92623efd17de454a69777

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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