Home / mubit-ai / plugins · integrations/claude-code/skills/remember/SKILL.md · GitHub

remember skillA

remember is agent-read markdown (skill) from mubit-ai/plugins: Save one durable lesson, rule or preference; use when the user states a standing preference or an approach fails in a way worth never repeating..

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

Routine work is captured automatically — do not use this for "I read a file" or "I ran the
tests". The capture hooks already write tool activity, prompts, and turn outcomes into this
run without being asked. Using the explicit verb for that fills the store with duplicates of
what is already there and buries the entries that matter. Use it for knowledge that should
outlive this session.

Reach for it when:

- the user states a standing preference ("always run the suite before you commit");
- you discover a constraint that is not visible in the code ("the operator's reconcile loop
  requires the CRD applied before the StatefulSet, or it wedges");
- an approach fails in a way worth never repeating, and you know *why* it failed.

One judgement is worth carrying from the type/scope table this used to show: a lesson that
states a constraint which is always true — a lint rule, a user's standing preference, a
system quirk — is worth more the further it travels, while a lesson about how one debugging
session went is worth most close to the work that produced it. Write with that in mind, and
raise `mcpLessonScope` when the constraints you are storing are the first kind.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add mubit-ai/plugins/remember@git:20260903.008c305
Exact content
mdr add mubit-ai/plugins/remember@sha256:60e729f410805551

Pin 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.

Badge

mdr badge

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Versions

versioncommittedcommitsizeaudit
git:20260903.008c305 latest2026-09-03 008c305 3,144 BA view · diff
git:20260828.18e84592026-08-28 18e8459 3,209 BA view · diff
git:20260828.792f5692026-08-28 792f569 3,846 BA view · diff
git:20260819.b4427832026-08-19 b442783 4,166 BA view · diff
git:20260815.59149842026-08-15 5914984 3,700 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (3144 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

mubit-ai/plugins · 3 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_aqqfcmk2mkfpb4rw
GET https://markdownregistry.com/api/v1/resolve?ref=mubit-ai/plugins/remember
GET https://markdownregistry.com/api/v1/blob/60e729f410805551b06e6ec1fde99ff13757552e82a391d748eeeac96c238f08

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.

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git:20260907.e52fcef · audit A · 3 stars
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Every file in mubit-ai/plugins

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