jev-integrate SKILL.md skillA
jev-integrate from onewave-ai/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add onewave-ai/claude-skills/jev-integrate@git:20260923.352d573Pins git:20260923.352d573 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- onewave-ai/claude-skills
- Path
jev-integrate/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260923.352d573, committed Sep 23, 2026
- First version recorded
- Sep 21, 2026
- Size
- 7,750 bytes
- Repository stars
- 421
- License
- MIT
Wire a System One model (Jev, or an open reproduction like Von) into a product feature — routing, guardrails, scoring, classification. Use when replacing an LLM call that returns a label rather than prose, when adding a typed decision to an agent loop, or when deciding between the hosted Jev API and a local open model. Covers question design, the eval-set-first workflow, threshold calibration, confidence gates, and the traps measured on real data.
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
# Wiring a System One model into a feature A System One model answers **typed questions in one forward pass**. It generates no text. State in, typed answers with calibrated probabilities out. It is an if-statement that can read. Use it when the decision is **narrow, pre-specified, and repeated**. Do not use it for anything that needs a written explanation — that is still a job for Claude. ## Before anything else: is this actually the right tool Answer these three. If any is "no", stop and keep the LLM call. 1. **Are the possible answers known up front?** Choice caps at 255 options. 2. **Does the caller need only the label**, not the reasoning? If a human reads a justification downstream, you need prose and this is the wrong tool. 3. **Is it high volume, or is a person waiting?** This is a latency and cost optimisation, not a capability gain. It knows nothing Claude doesn't. On a nightly cron over fifty records it buys you a dependency and nothing else. Measured on 150 hand-labelled records across three jobs (our Sep 20 2026 run): Jev ties GPT-5.2 at **145/150** and costs **46x less** ($0.036 vs …
Read the whole file at its exact version.
How to install
mdr add onewave-ai/claude-skills/jev-integrate@sha256:36e44fbdca47604cThe line at the top of this page pins the label git:20260923.352d573, 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.
[](https://markdownregistry.com/a/art_pdacmqk5pr5zxlpk)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Sep 21, 2026 and Sep 23, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260923.352d573 latest | 2026-09-23 | 352d573 | 7,750 B | A | view · diff |
| git:20260921.1fa6175 | 2026-09-21 | 1fa6175 | 6,731 B | A | view |
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 (7750 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
onewave-ai/claude-skills · 421 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pdacmqk5pr5zxlpk GET https://markdownregistry.com/api/v1/resolve?ref=onewave-ai/claude-skills/jev-integrate GET https://markdownregistry.com/api/v1/blob/36e44fbdca47604c4860c494e30339e82b72640ebade4935c681da5c7de26f6f
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.