m3-memory: Instructions file for Gemini CLI

GEMINI.md

m3-memory GEMINI.md is an instructions file for Gemini CLI from skynetcmd/m3-memory. It costs 856 tokens per session, scanned A, original, Apache-2.0.

Project instructions for skynetcmd/m3-memory, covering Git practices and where the system stores its persistent data, configuration, logs, and models.

In plain words
What is it for?
Use them when changing or pushing the project, relocating its state, checking tool-catalog updates, or working with the M3_MEMORY_ROOT setting.
Why use it?
They help contributors follow the repository’s required commit, hook, pre-push, catalog, and data-location rules.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions Gemini CLI.

This is skynetcmd/m3-memory's own configuration. It tells Gemini CLI how to work on m3-memory itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything m3-memory configures →

Reuse

Borrowing it

Nothing to install: this file belongs to skynetcmd/m3-memory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/skynetcmd/m3-memory/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/skynetcmd/m3-memory

Made for: Gemini CLI.

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.

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README.md
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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.

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Per session 856 This file is loaded in full into every session.
When invoked 856 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00856 $0.00856
Opus 5.5 $0.00342 $0.00342
Sonnet 5.5 $0.00171 $0.00171
Haiku 4.5 $0.00086 $0.00086

Measured yesterday against content hash f2f90a8091f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

m3-memory GEMINI.md 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 yesterday.

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.

GEMINI.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using m3 Memory

Tool names and signatures come from the MCP tool list. This is the part that isn't in a tool description: the protocol, and the traps.

Trust order

m3 memory > artifacts (git, handoff files) > session context. When m3 contradicts what you think you remember, trust m3 — context degrades across session boundaries, memory does not.

Verify capture is live

Registered ≠ working. The server can be connected while chatlog capture is silently dead. Call m3_call("chatlog_status") once early in a substantive session. If hooks are off or last_write is null/stale, say so loudly and don't proceed silently — a dead chatlog means this session's decisions vanish at the next session boundary. Never degrade quietly to flat files.

Protocol

  • Search first. memory_search before re-deriving anything about this user, project, or machine. A settled decision re-litigated is a bug reintroduced.
  • Grade what you used. After answering with retrieved memories, grade them once: m3_call("memory_grade", {"grades": [{"memory_id": "<id>", "verdict": "helpful"}, ...]}) — helpful if you relied on it, unhelpful if it was shown but did not help. memory_search lists the ids in grade_with.
  • Write as you go. If it took effort to learn and will matter later, memory_write it — decisions, corrections, runbooks, preferences.
  • Update, don't duplicate. Search before writing; prefer memory_update or memory_supersede (retires the old claim with a supersedes edge, keeps history) over a near-duplicate. Duplicates degrade later retrieval.
  • Link. Reference related memories as [[name]] so memory_graph traversal stays useful.

Chat log

Captured turns from host agents live in a store separate from curated memory. Reach them with chatlog_search, chatlog_list_conversations, and chatlog_promote (promotes turns into curated memory).

Read the full file on GitHub · 70 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. yesterday Changed · +55 lines · +544 tokens per session f2f90a8091f5
  2. 1mo ago First seen · 15 lines · 312 tokens per session scan A 6a135e01c6df

Subscribe to this mod's changes

m3-memory GEMINI.md is an instructions file published in the GitHub repository skynetcmd/m3-memory (29 stars, last pushed yesterday), licensed Apache-2.0. It adds 856 tokens to every session, about $0.0034 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.

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