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.
curl -O https://raw.githubusercontent.com/hermoso-ai/hermoso/main/GEMINI.mdgit clone --depth 1 https://github.com/hermoso-ai/hermosoWrote 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.
[](https://agentmods.dev/instructions/hermoso-ai/hermoso/gemini-md)<a href="https://agentmods.dev/instructions/hermoso-ai/hermoso/gemini-md"><img src="https://agentmods.dev/badge/instructions/hermoso-ai/hermoso/gemini-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<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="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00554 | $0.00554 |
| Opus 5.5 | $0.00222 | $0.00222 |
| Sonnet 5.5 | $0.00111 | $0.00111 |
| Haiku 4.5 | $0.00055 | $0.00055 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hermoso
Hermoso is an AI marketing agent and AI ad generator, run from your own AI agent. This extension adds five Hermoso skills to Gemini CLI, and they drive the hermoso 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 on-brand image and video ads: plan, render, remix, dub, reframe, upscale, stitch.
- Publish and schedule to the user's own channels: Facebook, Instagram, Threads, TikTok, YouTube, X, LinkedIn, Pinterest, Bluesky, Telegram, WordPress, Discord, Slack, Whop and Google Business Profile. Message people on WhatsApp.
- Build and manage paid campaigns on Meta, Google Ads, TikTok, LinkedIn, Reddit, X, Pinterest, Snapchat, Microsoft Advertising, Apple Search Ads and ChatGPT Ads. Everything is created paused and read back before it is reported.
Setup
Everything runs through the hermoso CLI in the shell, so no tool list is loaded into the session and nothing costs context until it runs.
- Sign in once:
npx -y hermoso auth loginopens a browser. On a machine with no browser, create a key in the app under MCP & CLI and runnpx -y hermoso auth login --token <key>. - No account yet? Sign up at https://app.hermoso.ai and set up a profile (a website, a social handle or a short description is enough).
How to work
- Run commands as
npx -y hermoso <command>, orhermoso <command>afternpm install -g hermoso. hermoso capabilitieslists model ids, exact credit costs and live durations.- Every tool is reachable:
hermoso tools --search <what you want>finds one,hermoso tools <name>prints its arguments,hermoso call <name> --json '{...}'runs it. - Always show the exact copy and target before publishing anything, and state the exact credit cost before any render or fix, from a live quote (
dryRun: trueon render_ad, generate_video, edit_image, fix_beat or post_edit), never from memory. - 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.
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.
- 2d ago Changed · +10 tokens per session cfdb8ce4818a
- 24d ago Changed · +4 tokens per session 370eb2f59550
- 1mo ago Changed · +4 tokens per session 96dc338e190a
- 1mo ago Changed · +9 tokens per session 2dfae9579f93
- 1mo ago Changed · +34 tokens per session 6bcc32a49aa0
- 1mo ago Changed 9ffab1118d61
- 1mo ago Changed · +2 lines · +116 tokens per session 09bb6fda272c
- 2mo ago First seen · 26 lines · 377 tokens per session scan A cd0f2ded5858
hermoso GEMINI.md is an instructions file published in the GitHub repository hermoso-ai/hermoso (4 stars, last pushed yesterday), licensed MIT. It adds 554 tokens to every session, about $0.0022 per session on Opus 5.5. 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.
hermoso GEMINI.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| hermoso GEMINI.mdhermoso-ai/hermoso | Instructions file | 4 | yesterday | MIT | A | 554 | Gemini CLI |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |