What is adspace_agent GEMINI.md?

A set of coding instructions for the adspace_agent Python project. It describes the project's style, setup commands, tests, linting, formatting, and type-checking practices.

Use it when editing Python code in adspace_agent, installing dependencies, running tests, checking coverage, formatting code, linting, or checking types.

It gives an agent the project-specific rules needed to make consistent changes and verify them correctly.

How google-marketing-solutions/adspace_agent configures Gemini CLI

Reuse

Borrowing it

Nothing to install: this file belongs to google-marketing-solutions/adspace_agent. 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/google-marketing-solutions/adspace_agent/main/GEMINI.md

Clone the repo

git clone --depth 1 https://github.com/google-marketing-solutions/adspace_agent

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/google-marketing-solutions/adspace_agent/gemini-md.svg)](https://agentmods.dev/instructions/google-marketing-solutions/adspace_agent/gemini-md)

Your own site

<a href="https://agentmods.dev/instructions/google-marketing-solutions/adspace_agent/gemini-md"><img src="https://agentmods.dev/badge/instructions/google-marketing-solutions/adspace_agent/gemini-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 273 This file is loaded in full into every session.

When invoked 273 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.

Model	Per session	Once invoked
Fable 5.1	$0.00273	$0.00273
Opus 5	$0.00137	$0.00137
Sonnet 5	$0.00055	$0.00055
Haiku 4.5	$0.00027	$0.00027

Measured 5d ago against content hash 201c9ce5c849, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

adspace_agent 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 · 38 lines

What it actually says

GEMINI.md

General Instructions

When generating new Python code, follow the existing coding style, write tests, ensure code coverage is near 100%, and fix any issues after running uv run prek run --all-files.

Coding Style

Use 4 spaces for indentation.
All functions should have a docstring.
Follow the Google Python Style Guide
Use types and be as explicit as possible.
Refrain from using comments to explain the obvious.

Regarding Dependencies

Avoid introducing new external dependencies unless absolutely necessary.
If a new dependency is required, state the reason.

Setup Commands

Install Python: mise install
Install the dependencies: uv venv and then uv sync --all-extras
Run for the pre-commit hooks: uv run prek run --all-files

Testing

Run the tests: uv run pytest --cov --cov-fail-under=80

Type Checking, Formatting, and Linting

Use ty for type checking: uv run ty check
Use ruff for formatting: uv run ruff format
Use ruff for linting: uv run ruff check

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.

5d ago First seen · 38 lines · 273 tokens per session scan A 201c9ce5c849

Subscribe to this mod's changes

adspace_agent GEMINI.md is an instructions file published in the GitHub repository google-marketing-solutions/adspace_agent (31 stars, last pushed 3d ago), licensed Apache-2.0. It adds 273 tokens to every session, about $0.0014 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 2026-09-02.

Project management Testing Unit testing

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

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adspace_agent: Instructions file for Gemini CLI