jevaluate-private SKILL.md skillA

jevaluate-private from tiffygk/jev-mode is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tiffygk/jev-mode/jevaluate-private@git:20261105.67806b3

Pins git:20261105.67806b3 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tiffygk/jev-mode
Path
jevaluate-private/SKILL.md
Versions recorded
7
Latest version
git:20261105.67806b3, committed Nov 5, 2026
First version recorded
Oct 6, 2026
Size
3,791 bytes
Repository stars
15
License
a license file GitHub does not identify

Rates a Jev project and keeps the rating private, with the same rubric and checks as Jevaluate, a verdict and fixes, a private library that export refuses, and nothing pushed or published. It is the default way to rate a project being built. Use when someone wants their own, their team's or a client's project rated, such as "rate my project", "jevaluate my repo", "rate our Jev integration", "/jevaluate-private" followed by a link or folder, "rate this privately", "evaluate my own project", a…

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

# Jevaluate Private

Rates a project exactly as `jevaluate-publish` does, with the same rubric, steps and checks, and keeps the rating out of everything public. The rating lives in a private library that export refuses, and nothing is pushed, published or added to `ratings/`.

## Setup, once per machine

`python3 <jevaluate>/scripts/library.py init-private ~/.jevaluate-private` creates the private library, marked by a `PRIVATE` file. `<jevaluate>` is the `jevaluate/` folder, beside this one.

## How to rate

1. Set `JEVALUATE_LIBRARY=~/.jevaluate-private` for every command in the rating, so `step.py` and `library.py` read and write only the private library. Create the library first if it doesn't exist.
2. Gather the files:
   - a GitHub link: `coverage_manifest.py owner/repo <dir>`, as usual;
   - a folder on disk: `coverage_manifest.py --local <folder> <dir>`. It applies the same skip rules and size cap, reads nothing outside the folder, and records git HEAD as the commit (or a content fingerprint when the folder isn't a clean git checkout).
3. Follow `<jevaluate>/SKILL.md` and its `read.md` unchanged. Two differences only:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tiffygk/jev-mode/jevaluate-private@sha256:eaffceac6aa47523

The line at the top of this page pins the label git:20261105.67806b3, 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_ameptiokg2nu32qz.svg)](https://markdownregistry.com/a/art_ameptiokg2nu32qz)

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

Versions

The registry has recorded 7 versions of this file, between Oct 6, 2026 and Nov 5, 2026, about one every 5 days.

versioncommittedcommitsizeaudit
git:20261105.67806b3 latest2026-11-05 67806b3 3,791 BA view · diff
git:20261105.d1690bf2026-11-05 d1690bf 3,773 BA view · diff
git:20261105.a40080b2026-11-05 a40080b 3,776 BA view · diff
git:20261105.edd8be12026-11-05 edd8be1 3,799 BA view · diff
git:20261104.4b198c12026-11-04 4b198c1 3,593 BA view · diff
git:20261016.12ef9a12026-10-16 12ef9a1 3,164 BA view · diff
git:20261006.42e7b902026-10-06 42e7b90 2,193 BA view

Audit of the latest version

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 (3791 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

tiffygk/jev-mode · 15 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ameptiokg2nu32qz
GET https://markdownregistry.com/api/v1/resolve?ref=tiffygk/jev-mode/jevaluate-private
GET https://markdownregistry.com/api/v1/blob/eaffceac6aa4752308aeb18783faea15dbbc701a9634de3bd6e97c75f52016c5

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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