deep-research GEMINI.md

deep-research GEMINI.md is an instructions file for Gemini CLI from ssdeanx/deep-research. It costs 5,611 tokens per session, scanned A, original, no licence file.

A Gemini CLI instruction file for the ssdeanx/deep-research project. Gemini CLI is a command-line interface for working with Google's Gemini AI models.

In plain words
What is it for?
Use it to guide Gemini CLI when working on the deep-research assistant codebase.
Why use it?
It gives the command-line agent project context, architecture, and technology guidance while it works on the research assistant.

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/ssdeanx/deep-research/gemini-md
Clone the repo
git clone --depth 1 https://github.com/ssdeanx/deep-research

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 deep-research GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ssdeanx/deep-research/gemini-md.svg)](https://agentmods.dev/instructions/ssdeanx/deep-research/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/ssdeanx/deep-research/gemini-md"><img src="https://agentmods.dev/badge/instructions/ssdeanx/deep-research/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 5,611 This file is loaded in full into every session.
When invoked 5,611 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 $0.05611 $0.05611
Opus 5 $0.02805 $0.02805
Sonnet 5 $0.01122 $0.01122
Haiku 4.5 $0.00561 $0.00561

Measured 4d ago against content hash c1981de8c05a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deep-research 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 4d 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 · 606 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. 4d ago First seen · 606 lines · 5,611 tokens per session scan A c1981de8c05a

Subscribe to this mod's changes

deep-research GEMINI.md is an instructions file published in the GitHub repository ssdeanx/deep-research (36 stars, last pushed 11mo ago), with no licence file. It adds 5,611 tokens to every session, about $0.0281 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.