install-memu

install-memu is a skill for Claude Code, Codex from NevaMind-AI/memU. It costs 61 tokens per session (1,846 once invoked), scanned A, original, no licence file.

An installer for connecting memU to a coding agent by identifying the host and following the packaged setup guide.

In plain words
What is it for?
Use it to install, configure, integrate, remove, or uninstall memU.
Why use it?
It handles the setup or removal steps needed to connect memU's recording and injection parts to the agent.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to install, configure, integrate, remove, or uninstall memU.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nevamind-ai/memu/memu
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.

Any agent
npx skills add NevaMind-AI/memU --skill memu
Clone the repo
git clone --depth 1 https://github.com/NevaMind-AI/memU

Made for: Claude Code, Codex.

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 install-memu

README.md
[![agentmods](https://agentmods.dev/badge/skills/nevamind-ai/memu/memu/github.svg)](https://agentmods.dev/skills/nevamind-ai/memu/memu)
Your own site
<a href="https://agentmods.dev/skills/nevamind-ai/memu/memu"><img src="https://agentmods.dev/badge/skills/nevamind-ai/memu/memu/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for install-memu

Your own site · 80×15
<a href="https://agentmods.dev/skills/nevamind-ai/memu/memu"><img src="https://agentmods.dev/badge/skills/nevamind-ai/memu/memu.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,846 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 5.1 $0.00061 $0.01846
Opus 5.5 $0.00024 $0.00738
Sonnet 5.5 $0.00012 $0.00369
Haiku 4.5 $0.00006 $0.00185

Measured 1mo ago against content hash 9d576f9d50b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

install-memu 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/db.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

SKILL.md · 171 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 1mo ago Changed · +1 lines 9d576f9d50b8
  2. 1mo ago First seen · 170 lines · 61 tokens per session scan A f954b1b8a452

Subscribe to this mod's changes

install-memu is a skill published in the GitHub repository NevaMind-AI/memU (14,546 stars, last pushed 3d ago), with no licence file. It adds 61 tokens to every session and 1,846 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

agent-memory-discipline

Rules for when an agent should recall from long-term memory before acting and when it should save decisions, corrections and failures afterwards. Works with any memory backend.

lingxling/awesome-skills-cn · 36 tokens

openviking-context-database

Use OpenViking from OpenClaw through @openviking/openclaw-plugin: long-term memory, session archives, resource and Agent Skill import, semantic recall, recall trace debugging, and externalized tool-result recovery. Prefer this skill when the user wants to use, query, debug, or operate OpenViking context from an…

volcengine/OpenViking · 95 tokens

context-engineering-review

Review what an LLM feature or agent actually puts in its context window — and find what's bloating, missing, or fighting itself. Use when asked to review a system prompt and context assembly, cut token usage without losing quality, debug an agent that ignores instructions, or audit how retrieval results, history, and…

mohitagw15856/pm-claude-skills · 111 tokens

self-improve

Extract lessons from the current session, or sweep the project's past sessions when asked, and route them to the appropriate knowledge layer (project AGENTS.md, auto memory, existing skills, or new skills). Use when the user asks to "self-improve", "distill this session", "distill past sessions", "sweep past…

tobihagemann/turbo · 125 tokens

memory-file-maintenance

Keep your AI memory/context file (MEMORY.md, CLAUDE.md, custom instructions) healthy over time — pruning the stale, adding the new, and keeping it sharp so your AI keeps getting you right. Use when asked review my memory file, my AI context is outdated, clean up my CLAUDE.md, or maintain my AI instructions. Produces a…

mohitagw15856/pm-claude-skills · 146 tokens

recall-rationale

Recall why a past change was made by locating the Claude Code transcript that produced it. Use when the user asks to "recall the rationale", "find the rationale", "look up the rationale", "why did I do X", "why did we do X", "why was this changed", or "find the transcript for this commit".

tobihagemann/turbo · 74 tokens