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.
npx skills add Lyellr88/marm-memory --skill marm-initgit clone --depth 1 https://github.com/Lyellr88/marm-memoryWrote 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.
[](https://agentmods.dev/skills/lyellr88/marm-memory/marm-init)<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.
<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>- NVIDIA SkillSpector warn
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.
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.
| Model | Per session | Once 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 |
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 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-memoryMCP 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.
- 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 asdocker 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-memoryon 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.
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.
- 17d ago Changed db6b065436cd
- 19d ago Changed ba418282d750
- 28d ago Changed 658569f3205a
- 29d ago Changed 87d49739da80
- 1mo ago Changed · -11 lines b4e957955613
- 1mo ago Changed · +4 lines bac9e912f9a7
- 1mo ago First seen · 271 lines · 75 tokens per session scan A 3fc38451c0b7
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.
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plur-memory
Persistent learning for AI agents. Open engram format. Your agent learns from corrections, remembers across sessions, and transfers knowledge across domains.
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.
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.
plur-session-end
Extract durable learnings at the end of a session. Saves corrections, preferences, and codebase patterns as engrams — nothing ephemeral, nothing sensitive.
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.