em_rag GEMINI.md

em_rag GEMINI.md is an instructions file for Gemini CLI from LeoKemp223/em_rag. It costs 139 tokens per session, scanned A, original, no licence file.

A set of instructions for Gemini CLI, a command-line coding assistant, when working in the em_rag repository. It tells the assistant to read AGENTS.md first because that file defines the repository’s workflow.

In plain words
What is it for?
It is for guiding Gemini CLI through work in the em_rag codebase.
Why use it?
It helps the assistant follow the project’s existing rules before making changes.

Instructions file for Gemini CLI

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 instructions/leokemp223/em_rag/gemini-md
Clone the repo
git clone --depth 1 https://github.com/LeoKemp223/em_rag

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.

agentmods badge for em_rag GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/leokemp223/em_rag/gemini-md.svg)](https://agentmods.dev/instructions/leokemp223/em_rag/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/leokemp223/em_rag/gemini-md"><img src="https://agentmods.dev/badge/instructions/leokemp223/em_rag/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 139 This file is loaded in full into every session.
When invoked 139 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00139 $0.00139
Opus 5 $0.00069 $0.00069
Sonnet 5 $0.00028 $0.00028
Haiku 4.5 $0.00014 $0.00014

Measured 5d ago against content hash 867ce32398d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

em_rag 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 5d 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.

GEMINI.md · 13 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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. 5d ago First seen · 13 lines · 139 tokens per session scan A 867ce32398d0

Subscribe to this mod's changes

em_rag GEMINI.md is an instructions file published in the GitHub repository LeoKemp223/em_rag (12 stars, last pushed 3mo ago), with no licence file. It adds 139 tokens to every session, about $0.0007 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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