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hermoso: Instructions file for Gemini CLI

GEMINI.md

hermoso GEMINI.md is an instructions file for Gemini CLI from hermoso-ai/hermoso. It costs 377 tokens per session, scanned A, original, MIT.

Project instructions for using Hermoso through Gemini CLI. Hermoso is an AI advertising studio that researches ads, creates image and video ads, publishes content, and manages paid campaigns.

In plain words
What is it for?
It is for running marketing research, making and adapting ads, publishing them to social channels, and managing campaigns from the terminal.
Why use it?
It tells the agent how the project works and how to use its advertising tools, including the required agent key and rules for checking capabilities.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions Gemini CLI.

This is hermoso-ai/hermoso's own configuration. It tells Gemini CLI how to work on hermoso itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything hermoso configures →

not rated 0repo today A scan 377 tokens original MIT
View source ↗ hermoso-ai/hermoso hermoso.ai
Reuse

Borrowing it

Nothing to install: this file belongs to hermoso-ai/hermoso. 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/hermoso-ai/hermoso/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/hermoso-ai/hermoso

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 hermoso GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/hermoso-ai/hermoso/gemini-md.svg)](https://agentmods.dev/instructions/hermoso-ai/hermoso/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/hermoso-ai/hermoso/gemini-md"><img src="https://agentmods.dev/badge/instructions/hermoso-ai/hermoso/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 377 This file is loaded in full into every session.
When invoked 377 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00377 $0.00377
Opus 5 $0.00188 $0.00188
Sonnet 5 $0.00075 $0.00075
Haiku 4.5 $0.00038 $0.00038

Measured yesterday against content hash cd0f2ded5858, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

hermoso 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 yesterday.

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 · 26 lines

What it actually says

Hermoso

Hermoso is an AI ad studio you drive over MCP. This extension adds its tools to Gemini CLI so you can run a brand's marketing from the terminal.

What it does

  • Research the ads already winning: competitor teardowns, ad libraries across Meta, Google, LinkedIn and TikTok, organic search on TikTok, Instagram, YouTube, Reddit and Threads, creator search.
  • Create finished, on-brand image and video ads: plan, render, remix, dub, reframe, upscale, stitch.
  • Publish and schedule to the user's own channels: Meta, Instagram, Threads, X, LinkedIn, TikTok, YouTube, Pinterest, Bluesky, Telegram, Google Business, WhatsApp.
  • Manage paid ads on nine platforms. Everything is created paused and read back before it is reported.

Setup

  1. Sign up at https://app.hermoso.ai and onboard a brand (one website is enough).
  2. In the app, open Settings, then Agents and API, and create an agent key.
  3. Install this extension. When Gemini CLI asks for the Hermoso agent key, paste it. It is stored as HERMOSO_TOKEN for the MCP server only.

How to work

  • Call hermoso_capabilities first when you need a model id, an exact credit cost or a live duration.
  • Tools not in your list are one call away: find_tools to search by task, then call_tool to run one.
  • Always show the exact copy and target before publishing anything, and state the credit cost before any render.
  • A tool for a channel that is not connected means the channel is not connected yet; say to connect it under Settings, Connectors in the app.

Full tool reference: https://hermoso.ai/mcp

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. yesterday First seen · 26 lines · 377 tokens per session scan A cd0f2ded5858

Subscribe to this mod's changes

hermoso GEMINI.md is an instructions file published in the GitHub repository hermoso-ai/hermoso (0 stars, last pushed today), licensed MIT. It adds 377 tokens to every session, about $0.0019 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 2026-09-07.

Creative and mediaMarketing and SEOad-generationadsaiclaudemcpmcp-server
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