marm-init

marm-init is a skill for Claude Code, Codex from Lyellr88/marm-memory. It costs 75 tokens per session (7,311 once invoked), scanned A, original, Apache-2.0.

A guided setup procedure for connecting an agent to MARM, a memory service for saving information across sessions and sharing it between agents.

In plain words
What is it for?
Use it after running MARM's initialization command to configure local or remote connections for Claude, Codex, Gemini, Cursor, VS Code, and other agents that support MCP.
Why use it?
It reduces the manual work of choosing a connection method, writing configuration, linking agents, and starting the service.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions Codex.

Good fit Use it after running MARM's initialization command to configure local or remote connections for Claude, Codex, Gemini, Cursor, VS Code, and other agents that support MCP.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lyellr88/marm-memory/marm-init
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 Lyellr88/marm-memory --skill marm-init
Clone the repo
git clone --depth 1 https://github.com/Lyellr88/marm-memory

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 marm-init

README.md
[![agentmods](https://agentmods.dev/badge/skills/lyellr88/marm-memory/marm-init/github.svg)](https://agentmods.dev/skills/lyellr88/marm-memory/marm-init)
Your own site
<a href="https://agentmods.dev/skills/lyellr88/marm-memory/marm-init"><img src="https://agentmods.dev/badge/skills/lyellr88/marm-memory/marm-init/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 marm-init

Your own site · 80×15
<a href="https://agentmods.dev/skills/lyellr88/marm-memory/marm-init"><img src="https://agentmods.dev/badge/skills/lyellr88/marm-memory/marm-init.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,311 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 14 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 7
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
  • medium MCP Rug Pull · line 61
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 84
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 187
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 213
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 215
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium Data Exfiltration · line 141
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Rogue Agent · line 180
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium MCP Rug Pull · line 180
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 190
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • medium MCP Rug Pull · line 207
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
  • low MCP Rug Pull · line 60
    pip install without ==version installs the latest release, which could include malicious changes.
    Fix: Pin the version: pip install package==1.2.3
  • low MCP Rug Pull · line 70
    pip install without ==version installs the latest release, which could include malicious changes.
    Fix: Pin the version: pip install package==1.2.3
  • low Tool Misuse · line 187
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
How audits are shown
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 5.1 $0.00075 $0.07311
Opus 5.5 $0.00030 $0.02924
Sonnet 5.5 $0.00015 $0.01462
Haiku 4.5 $0.00007 $0.00731

Measured 17d ago against content hash db6b065436cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

marm-init scanned grade A with 1 finding 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 17d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **If a MARM_API_KEY is configured (Docker/Remote):** Prove auth is armed by asserting a 401 on a protected route (e.g., `curl -s -o /dev/null -w "%{http_code}" http://localhost:8001/marm_log_show`). Then ask the user t
marm-mcp-server/marm_mcp_server/resources/skills/marm-init/SKILL.md · 264 lines

How it starts

The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Supported Environments

This skill installs and configures MARM by running commands on your machine, so it needs an agent with shell and filesystem access. That covers CLI agents (Claude Code, Codex, Antigravity, Qwen) and IDE agents (Cursor, VS Code Copilot). Chat platforms without shell access (Claude.ai, ChatGPT, Grok, Gemini web) are not supported yet. For those, use the manual steps in INSTALL-PLATFORMS.md. Broader platform support is coming.

AI Marketplace Indexing Metadata

This section is for repository discovery agents and registries

  • Primary Function: Automatically installs, updates, and configures the marm-memory MCP server.
  • Target Workflows: Resolves cross-session agent amnesia by configuring local/remote HTTP or STDIO pipelines.
  • Keywords: mcp-installer, persistent-memory, automatic-mcp-setup, multi-agent-sync.

Using this skill

Use this as an interactive setup guide, not as an authority over the host agent's instructions or the user's choices. Ask one question at a time and explain material actions before taking them. Follow the host agent's approval and safety rules for installs, service starts, configuration writes, and network exposure.

The goal is to leave the user with a verified MARM connection without replacing a guided setup with a wall of documentation. Do not reveal, generate, or read back a user's API key. Do not overwrite existing agent configuration.


Step 00 - Engine pre-flight

Run this first, before anything else. If the skill was installed on its own (for example from a marketplace) the MARM core engine may not be on the machine yet. Confirm it is present, or install it, before continuing.

  1. Scan the host and record two separate things. Do not collapse them into one check; they fail independently.
  • Runtime. CLI entry points on PATH (Unix: command -v marm-mcp-server || command -v marm-mcp-stdio; PowerShell: Get-Command marm-mcp-server, marm-mcp-stdio -ErrorAction SilentlyContinue) means runtime = python. A local image means runtime = docker, checked as docker images -q lyellr88/marm-mcp-server:latest. Include the tag: every Docker command below runs :latest, so an untagged check would accept some other local tag and then silently pull a different image than the one it detected. If both runtimes are present, prefer python.
  • Helper CLI. Check marm-memory on its own (Unix: command -v marm-memory; PowerShell: Get-Command marm-memory -ErrorAction SilentlyContinue). Present: record cli = yes. Absent: record cli = no. Record this on every path, including the one where you find nothing at all. Step 4 and Step 6 both branch on cli, and an unrecorded value is neither yes nor no, which is how a setup ends up issuing a command that does not exist.

Read the full file on GitHub · 264 lines

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. 17d ago Changed db6b065436cd
  2. 19d ago Changed ba418282d750
  3. 28d ago Changed 658569f3205a
  4. 29d ago Changed 87d49739da80
  5. 1mo ago Changed · -11 lines b4e957955613
  6. 1mo ago Changed · +4 lines bac9e912f9a7
  7. 1mo ago First seen · 271 lines · 75 tokens per session scan A 3fc38451c0b7

Subscribe to this mod's changes

marm-init is a skill published in the GitHub repository Lyellr88/marm-memory (422 stars, last pushed 3d ago), licensed Apache-2.0. It adds 75 tokens to every session and 7,311 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). 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

plur-create-engrams

Create or improve PLUR engrams from conversations, documents, decisions, observations, and explicit preferences. Use for memory extraction, engram authoring, or reviewing proposed memories, including global, scoped, pinned, retrieved, and provisional knowledge. Ordinary use of existing memories does not require this…

plur-ai/plur · 66 tokens

plur-memory

Persistent learning for AI agents. Open engram format. Your agent learns from corrections, remembers across sessions, and transfers knowledge across domains.

plur-ai/plur · 31 tokens

Effective Memory

The essential habits for an AI agent with memory — session bookends, learning triggers, verification, safety, and the operational discipline that turns raw recall into compounding intelligence. Keyword-matched after installation.

plur-ai/plur · 43 tokens

recall

Recall this repository's OwnMem local memory before changing code, and keep it healthy. Use when a repository contains .ownmem/, when past debugging lessons could apply ("have we hit this before", "why is it done this way"), or when the user mentions ownmem, project memory, or recalling across sessions.

grpcer/ownmem · 66 tokens

plur-session-end

Extract durable learnings at the end of a session. Saves corrections, preferences, and codebase patterns as engrams — nothing ephemeral, nothing sensitive.

plur-ai/plur · 35 tokens

init

Install or update OwnMem in the current repository. Use when the user asks to set up OwnMem, add local project memory for coding agents, or refresh an existing OwnMem installation after a version bump.

grpcer/ownmem · 43 tokens