ai-platform-kit GEMINI.md

Instructions for using the Gemini command-line tool in the ai-platform-kit project. They describe the project’s guides, available skills, operating notes, and skill imports.

In plain words
What is it for?
Use them when an agent is working in ai-platform-kit through Gemini CLI.
Why use it?
They give Gemini the project context and working rules it needs to handle tasks consistently.

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/databricks-solutions/ai-platform-kit/gemini-md
Clone the repo
git clone --depth 1 https://github.com/databricks-solutions/ai-platform-kit

Made for: Gemini CLI.

Per session 756 This file is loaded in full into every session.
When invoked 756 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 $0.00756 $0.00756
Opus 5 $0.00378 $0.00378
Sonnet 5 $0.00151 $0.00151
Haiku 4.5 $0.00076 $0.00076

Measured 2d ago against content hash 024e41342660, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-platform-kit 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 2d 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 · 40 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. 2d ago First seen · 40 lines · 756 tokens per session scan A 024e41342660

Subscribe to this mod's changes

ai-platform-kit GEMINI.md is an instructions file published in the GitHub repository databricks-solutions/ai-platform-kit (15 stars, last pushed 1mo ago), with no licence file. It adds 756 tokens to every session, about $0.0038 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.

Related

Other instructions, from other repositories

awesome-kubernetes CLAUDE.md

Instructions for nubenetes/awesome-kubernetes, covering claude.md — nubenetes project instructions for claude code, git workflow: gitflow, branches, release process (mandatory for all releases) and versioning.

nubenetes/awesome-kubernetes · 1,242 tokens

awesome-kubernetes GEMINI.md

Instructions for nubenetes/awesome-kubernetes, covering 🧠 core mandates, 🛠️ structural evolution & navigation, 📊 mermaid diagram best practices, 🛡️ repository policies & branch protection and 📝 readme synchronization & maintenance protocols.

nubenetes/awesome-kubernetes · 12,486 tokens

aurora AGENTS.md

Instructions for Arvo-AI/aurora, covering aurora - agent guidelines, commands, docker deployments, architecture and secrets management (vault).

Arvo-AI/aurora · 2,731 tokens

IsaacAutomator AGENTS.md

Instructions for isaac-sim/IsaacAutomator, covering isaac automator - agent instructions, operator quickstart (the short version), rules for agents (read before acting) and map.

isaac-sim/IsaacAutomator · 941 tokens

IsaacAutomator CLAUDE.md

Instructions for isaac-sim/IsaacAutomator, a project described as: Isaac Workstation in the Clouds ☁️.

isaac-sim/IsaacAutomator · 96 tokens

insideout-power AGENTS.md

Instructions for luthersystems/insideout-power, covering insideout — riley infrastructure agent, what riley can do for you, how to invoke riley, via remote mcp (preferred — use this first) and via agent skills.

luthersystems/insideout-power · 1,155 tokens