jev skillA
jev is agent-read markdown (skill) from lu1sdv/skillsmd: Use when writing or improving Jev programs — the TypeSafe judgment model behind POST /v1/systemone. Covers primitive selection (noul, choice, score), instruction and criteria writing, minimal state and token budgets, the raw HTTP API, confidence-gated composition, speculative fan-out, and the symptom-to-fix revision table. Triggers: jev, judgment model, typesafe, systemone, noul, choice, score, confidence floor, jaggedness..
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
# Writing and Improving Jev Programs Jev is a judgment model. It reads one state, answers every question in the request independently and in parallel, and returns a probability distribution over the answers you defined. It does not reason in steps and it does not generate text. Code owns the control flow, the arithmetic, and the policy. Jev owns the snap judgments. A good Jev question is one a knowledgeable person answers in a second, given the right context. "Does this message convey urgency?" fits. "Analyze this message and decide what to do" does not fit. Break that task into small questions and compose the answers in code. This guidance applies to jev-1.13. The docs mark several limits as likely to improve in later versions, so recheck the jaggedness page when the model changes. ## Workflow 1. List the decisions your code must make. Write each as a branch, a threshold, or a ranking. 2. Write one question per judgment. Split any question that weighs two properties. 3. Pick the primitive whose answer your code acts on directly. 4. Build the smallest state that answers every question. Compute in code whatever code can compute. …
Read the whole file at its exact version.
How to install
mdr add lu1sdv/skillsmd/jev@git:20260922.b382a88mdr add lu1sdv/skillsmd/jev@sha256:9f42521795416a35Pin 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.
[](https://markdownregistry.com/a/art_ify7ufifyhvd4s56)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (23345 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
lu1sdv/skillsmd · 2 stars · license none · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ify7ufifyhvd4s56 GET https://markdownregistry.com/api/v1/resolve?ref=lu1sdv/skillsmd/jev GET https://markdownregistry.com/api/v1/blob/9f42521795416a354702cff7594ee643bc64444810b1d4cda0e3b7da4f068e0b
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.