jev-memory SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
jev-memory from superdesigndev/treg is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add superdesigndev/treg/jev-memory@git:20261027.d08ee08Pins git:20261027.d08ee08 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- superdesigndev/treg
- Path
plugins/workflows/jev-memory/skills/jev-memory/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261027.d08ee08, committed Oct 27, 2026
- First version recorded
- Oct 27, 2026
- Size
- 6,955 bytes
- Repository stars
- 7,162
- License
- a license file GitHub does not identify
Use when the user wants Claude Code to remember their preferences across sessions, asks for a memory mod or memory harness for Claude Code, mentions the Jev memory classifier or a "classifier on every turn" mod, or wants to build a Claude Code mod on treg and Jev. Installs a ready-made Claude Code mod that has Jev judge each prompt after the turn and saves lasting preferences to .claude/jev-memory.md, or builds the same mod from one prompt.
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 memory for Claude Code A Claude Code mod that decides what to remember. After every answered prompt, Jev scores each sentence: a lasting preference, or a one-off task? A sentence at 0.8 or higher is saved to `.claude/jev-memory.md` and goes back into the first message of every later session. One check is one treg call, around $0.00002 for a short prompt. Runs on the `treg` CLI: the mod's hook calls it after every turn, so treg's MCP tools are not enough here. If `treg --version` fails, tell the human this mod needs the CLI and point them at https://treg.to/llms.txt; install it only if they asked you to. ## Before you start 1. `claude --version` is 2.1.287 or later; mods need it. Claude Code Desktop's bundled CLI may be older, so use the terminal `claude`. 2. `treg balance` shows credit. 3. `command -v treg`. The mod runs `$HOME/.local/bin/treg` unless told otherwise; if treg is anywhere else, add `--config tregPath=<that path>` to the install command below. ## Install the ready-made mod The mod lives in the treg repo at `examples/claude-code-mods/jev-memory`, inside a one-plugin local marketplace. Fetch only that folder, register it, install: ```bash …
Read the whole file at its exact version.
How to install
mdr add superdesigndev/treg/jev-memory@sha256:0422f58297c32260The line at the top of this page pins the label git:20261027.d08ee08, 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_j2bi44nqelk6gih4)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Oct 27, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261027.d08ee08 latest | 2026-10-27 | d08ee08 | 6,955 B | A | view · diff |
| git:20261027.6f64e29 | 2026-10-27 | 6f64e29 | 6,849 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 (6955 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
superdesigndev/treg · 7,162 stars · license a license file GitHub does not identify · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_j2bi44nqelk6gih4 GET https://markdownregistry.com/api/v1/resolve?ref=superdesigndev/treg/jev-memory GET https://markdownregistry.com/api/v1/blob/0422f58297c322603df956e0a66bd5319b2332d3e2f219b97fd6b73e68f98542
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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