jev-style-eval SKILL.md skillB

jev-style-eval from lawrence3699/jev-style is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add lawrence3699/jev-style/jev-style-eval@git:20260925.fc458b5

Pins git:20260925.fc458b5 in mdr.lock. Pin the fingerprint instead.

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
lawrence3699/jev-style
Path
skills/jev-style-eval/SKILL.md
Versions recorded
1
Latest version
git:20260925.fc458b5, committed Sep 25, 2026
Size
4,676 bytes
Repository stars
54
License
Apache-2.0

Measure the Jev-Style local decision model on the user's own labelled examples before relying on it - accuracy, Brier, ECE, how many decisions can be automated at a 1/5/10 % error budget and at which confidence threshold, plus a refitted calibration temperature. Use when the user asks whether the local model is good enough for their task, wants thresholds for automating a classification/routing/gating step, or wants to compare it with the labels an existing LLM or human process produces.

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

# Evaluate Jev-Style on your own data

`jev-style eval data.jsonl` sends every labelled example to the model and reports, per question and
overall: accuracy, Brier, ECE, and **automation at an error budget** (the share of decisions the model
can take alone if you only act above a confidence threshold, with the threshold to use). It also refits
a temperature on half the rows and reports the effect on the other half. No training involved.

## 1. Build the labelled file

One JSON object per line: the same shape as a `/v1/systemone` request, plus `"label"` on each question
to score. Lines starting with `#` are ignored.

```json
{"state": "I was charged twice for order #4411.",
 "questions": {
   "team":     {"type": "choice", "instructions": "Which team should handle this ticket?",
                "criteria": {"billing": "charges, refunds", "shipping": "delays, lost parcels"}, "label": "billing"},
   "escalate": {"type": "noul", "instructions": "The customer asks for a person to handle this urgently.",
                "label": false},
   "mood":     {"type": "score", "instructions": "How upset is the customer?",
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add lawrence3699/jev-style/jev-style-eval@sha256:ab3803492a9404ba

The line at the top of this page pins the label git:20260925.fc458b5, 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_cqvdglcdvqlfyzm2.svg)](https://markdownregistry.com/a/art_cqvdglcdvqlfyzm2)

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

Versions

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

versioncommittedcommitsizeaudit
git:20260925.fc458b5 latest2026-09-25 fc458b5 4,676 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No link to a raw IP address (matched: http://127.0.0.1:8765)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4676 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 script tag

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

lawrence3699/jev-style · 54 stars · license Apache-2.0 · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cqvdglcdvqlfyzm2
GET https://markdownregistry.com/api/v1/resolve?ref=lawrence3699/jev-style/jev-style-eval
GET https://markdownregistry.com/api/v1/blob/ab3803492a9404ba45239c5298297d0f547feafe327d1f1fc80bfaeb8b4b575b

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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