remember

remember is a skill for Claude Code, Codex from mubit-ai/claude-plugins. It costs 46 tokens per session (964 once invoked), scanned A, original, Apache-2.0.

A command for saving a durable lesson, rule, preference, or important technical constraint to Mubit memory.

In plain words
What is it for?
It is for recording coding rules, user preferences, architecture facts, successful debugging methods, and failures worth avoiding.
Why use it?
It preserves knowledge that should remain available in future sessions instead of being lost with the current conversation.

Skill for Claude CodeCodex

Part of the mubit-memory plugin — 13 skills, 1 agent, 13 hooks, 1 MCP server shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/mubit-ai/claude-plugins/remember
Any agent
npx skills add mubit-ai/claude-plugins --skill remember
Clone the repo
git clone --depth 1 https://github.com/mubit-ai/claude-plugins

Made for: Claude Code, Codex.

Or install mubit-memory, the plugin that ships this one along with the rest of its 13 skills, 1 agent, 13 hooks, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for remember

README.md
[![agentmods](https://agentmods.dev/badge/skills/mubit-ai/claude-plugins/remember.svg)](https://agentmods.dev/skills/mubit-ai/claude-plugins/remember)
Your own site
<a href="https://agentmods.dev/skills/mubit-ai/claude-plugins/remember"><img src="https://agentmods.dev/badge/skills/mubit-ai/claude-plugins/remember.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 964 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00046 $0.00964
Opus 5 $0.00023 $0.00482
Sonnet 5 $0.00009 $0.00193
Haiku 4.5 $0.00005 $0.00096

Measured 3d ago against content hash 0d5adf8565b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

remember scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

integrations/claude-code/skills/remember/SKILL.md · 65 lines

What it actually 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.

Pick a template, which sets lesson_type and lesson_scope for you:

Template Use for type / scope
CODING_RULE lint rules, naming, style constraints rule / global
DEBUG_SUCCESS a debugging approach that worked success / session
DEBUG_FAILURE an approach that failed, and why failure / session
PREFERENCE how this user wants things done preference / global
ARCHITECTURE_INSIGHT system quirks, dependency behaviour observation / global
BUILD_CONFIG build/deploy settings that work rule / global
API_PATTERN SDK quirks, integration notes observation / session
TEST_STRATEGY test approaches that proved effective success / global

The pair is the whole point of choosing a template. lesson_type decides how retrieval weighs the entry; lesson_scope decides who ever sees it again — a global entry follows the user into every project, a session entry stays with related sessions, and a run entry dies with this run. Picking the wrong template is not a cosmetic error.

Write the lesson as an imperative with its condition attached — "When X, do Y, because Z" — not as a narrative of what just happened. "Fixed the flaky test" is worth nothing to a future session; "When a Tokio test hangs on block_on, run it with --test-threads=1 first, because the runtime is already inside a runtime" is worth something. One lesson per call, and keep it self-contained: it will be read months later with none of this conversation around it.

mubit_learned returns when the write is queued, not stored. Do not immediately search for what you just saved; it will not be there yet. Ingest runs asynchronously — the item is embedded and indexed after the call returns, so a search fired in the same turn honestly returns nothing and that is not a sign that memory is broken. The same applies to /mubit-memory:reflect: reflection only sees items the server has already indexed, so reflecting seconds after a write reports zero lessons where reflecting a minute later reports them.

Note the one place the tool is narrower than the table: mubit_learned is the low-boilerplate path, and every entry it writes is stored as success at run scope. The plugin clamps it there on purpose — anything wider is read back by unrelated projects — and run is not the memory loss it sounds like. The default runStrategy is per-directory, so the run id is stable for a project: a lesson written here is recalled here tomorrow. It simply stops following you into work it has nothing to do with. Use the table to decide what the entry is and to word it accordingly, and let scope widening happen the way it is supposed to — through the explicit reflect path, which is the only thing that promotes a lesson beyond its own run. To raise the ceiling on what any MCP write may claim, set mcpLessonScope (MUBIT_MCP_LESSON_SCOPE). If you need an exact type/scope pair written directly, that is mubit_remember, which is off by default and restored via the mcpTools setting.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 65 lines · 46 tokens per session scan A 0d5adf8565b8

Subscribe to this mod's changes

remember is a skill published in the GitHub repository mubit-ai/claude-plugins (13 stars, last pushed 5d ago), licensed Apache-2.0. It adds 46 tokens to every session and 964 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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