Home / smturtle2 / codex-skills · skills/jev-developer/SKILL.md · GitHub

jev-developer skillA

jev-developer is agent-read markdown (skill) from smturtle2/codex-skills: Design, implement, and improve software using TypeSafe AI's Jev. Use for Jev questions, evidence representation, typed judgment composition, API integration, and diagnosis of Jev-backed behavior..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Jev Developer

Build the requested software behavior using Jev where semantic judgment supplies information the program needs. Jev evaluates supplied information and returns typed judgments. The SDK handles transport and response types; calling software prepares evidence, performs exact calculations, resolves IDs, and applies results. Jev does not retrieve external evidence, generate free-form content, or execute selected operations.

## Design from the Required Behavior

Start from the required output or effect and available inputs. Identify the unresolved meaning that changes the result and the information Jev must read to judge it. Express the subject, conditions, and evidence relationships in the request. Assign known transformations, exact calculations, and data joins to code where appropriate, so the remaining semantic judgment has the context it needs.

Choose judgment units and answer spaces that preserve the information needed to construct the result. Existing values can become candidates, relations can be judged over pairs, and structure can be assembled from boundary or component judgments. A complex output need not require a complex model answer.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add smturtle2/codex-skills/jev-developer@git:20260920.42ced1e
Exact content
mdr add smturtle2/codex-skills/jev-developer@sha256:0378063c0102935e

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_pe6bbddr7ooomu7b.svg)](https://markdownregistry.com/a/art_pe6bbddr7ooomu7b)

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Versions

versioncommittedcommitsizeaudit
git:20260920.42ced1e latest2026-09-20 42ced1e 5,127 BA view · diff
git:20260920.2cadc3f2026-09-20 2cadc3f 4,964 BA view · diff
git:20260920.f66e8c12026-09-20 f66e8c1 4,267 BA view · diff
git:20260919.bfd549e2026-09-19 bfd549e 6,591 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (5127 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

smturtle2/codex-skills · 13 stars · license none · pushed 2026-09-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_pe6bbddr7ooomu7b
GET https://markdownregistry.com/api/v1/resolve?ref=smturtle2/codex-skills/jev-developer
GET https://markdownregistry.com/api/v1/blob/0378063c0102935ed64a13211c9180ba1de4c1a2ca76e52aa5a60442af15fd92

Your agent 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.

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