opencolab GEMINI.md

opencolab GEMINI.md is an instructions file for Gemini CLI from jimezsa/opencolab. It costs 4 tokens per session, scanned A, a copy of deepseek-harness CLAUDE.md, MIT.

Project instructions for opencolab, a project aimed at using autonomous software agents to support scientific research.

In plain words
What is it for?
Working on the opencolab project, including its tools for ongoing autonomous laboratory work.
Why use it?
They give an agent guidance specific to the opencolab codebase and its research-automation purpose.

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/jimezsa/opencolab/gemini-md
Clone the repo
git clone --depth 1 https://github.com/jimezsa/opencolab

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 opencolab GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/jimezsa/opencolab/gemini-md.svg)](https://agentmods.dev/instructions/jimezsa/opencolab/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/jimezsa/opencolab/gemini-md"><img src="https://agentmods.dev/badge/instructions/jimezsa/opencolab/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 4 This file is loaded in full into every session.
When invoked 4 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00004 $0.00004
Opus 5 $0.00002 $0.00002
Sonnet 5 $0.00001 $0.00001
Haiku 4.5 $0.00000 $0.00000

Measured 5d ago against content hash 954ec5dad7ea, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

opencolab 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.

Origin

This is a copy

100% identical to deepseek-harness CLAUDE.md — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

GEMINI.md · 2 lines

What it actually says

AGENTS.md

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 · 2 lines · 4 tokens per session scan A 954ec5dad7ea

Subscribe to this mod's changes

opencolab GEMINI.md is an instructions file published in the GitHub repository jimezsa/opencolab (11 stars, last pushed 22d ago), licensed MIT. It adds 4 tokens to every session, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to deepseek-harness CLAUDE.md, differing in 1 line, and is treated as a copy.

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