Solve user tasks by dynamically designing and executing workflows that combine code with Jev semantic judgments. Use when the user asks to use Jev or TypeSafe to process supplied material, or when repeated semantic decisions would help complete a task; especially useful for batches and combinations of selection, comparison, extraction, and verification.
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
# Jev
Turn the user's goal into a working method. Design the necessary judgments, call the bundled Node.js helper, and combine its answers with code to deliver the requested result. The user does not need to choose primitives or start a software project.
## Shape the method
Start with the desired output and available evidence. Resolve routine implementation choices yourself. State reasonable assumptions; ask only when an ambiguity in the goal or decision criteria would materially change the result. Preserve the user's scope, chosen tools, and existing authorization.
Keep exact lookups, arithmetic, parsing, date comparisons, and execution in code. Use Jev for the parts that need semantic understanding. It accepts text or JSON and returns typed judgments, not generated prose, code, or reasoning explanations. Convert non-text inputs with an appropriate available tool first.
Choose the question type by what its answer means:
| Need | Primitive | Interpretation |
| --- | --- | --- |
| Select one known candidate | `choice` | Selected key, probabilities, and confidence; include a no-match option when appropriate |
…
The line at the top of this page pins the label git:20260922.d822388, 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.
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 (6469 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
flc1125/skills · 39 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bb3fmykgtiy32sjr
GET https://markdownregistry.com/api/v1/resolve?ref=flc1125/skills/jev
GET https://markdownregistry.com/api/v1/blob/32b4d26a1de1a1266ac83bcaf86a8cc64a2d73d928c029c7162e6f2440235dd6
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.
flc1125/skills · skills/async/SKILL.md · Launch and coordinate Codex subagents as deferred tasks. Use when the user wants to start bounded subagent work now…
flc1125/skills · skills/code-review/SKILL.md · Request or perform a git-backed code review for a defined diff or SHA range using implementation context and…
flc1125/skills · skills/eli5/SKILL.md · Create a simple, picture-first explanation of a topic, defaulting to self-contained HTML. Use when the user says ELI5…
flc1125/skills · skills/engineering-backend-architect/SKILL.md · Design backend system architecture for new products, large features, platform refactors, API and database design…
flc1125/skills · skills/experts/SKILL.md · Assemble a panel of experts to assess a problem from multiple professional perspectives, surface agreement and…
flc1125/skills · skills/getnote/SKILL.md · Save, search, list, and organize Get 笔记 notes, images, tags, and knowledge resources through the Get 笔记 OpenAPI. Use…
flc1125/skills · skills/github-create-pr/SKILL.md · Create GitHub pull requests from a local branch using a reviewable workflow for branch checks, diff analysis, PR…
joetawil7/first-pass · skills/jev/SKILL.md · Sets up, checks or changes the optional Jev judge, the TypeSafe decision model that ship-check asks about review…
francoischastel/jev-code · skills/jev/SKILL.md · Use Jev, TypeSafe's System One classifier, whenever a coding task needs a classifier under the hood: labelling or…
pymodel/jev-judge-mcp · src/jev_judge_mcp/skills/jev/SKILL.md · Use when code needs a judgment about natural language that rules or regex cannot make (classify, route, triage…
ismaildasci/claude-referee · plugins/claude-referee/skills/jev/SKILL.md · Hand small, checkable judgements to TypeSafe Jev through the claude-referee CLI instead of judging them yourself. done…
rashedint32/jev-mcp · skills/jev/SKILL.md · Get typed, calibrated judgments from the connected `jev` MCP tools when the same semantic decision repeats across many…
jzkk720/cubecloud-skills-bundle-kit · upstream/jev/SKILL.md · Set up Jev via OpenRouter, native TypeSafe or explicitly chosen simulation; build custom decision integrations and…
