aimeat-protocol: Skill for Claude Code

.claude/skills/aimeat-imagery/SKILL.md

aimeat-imagery is a skill for Claude Code from miikkij/aimeat-protocol. It costs 62 tokens per session (679 once invoked), scanned A, original, MIT.

Instructions for creating image assets for AIMEAT apps, such as icons, banners, hero graphics, illustrations, logos, and social-preview images.

In plain words
What is it for?
Use them whenever an AIMEAT task needs a new picture, whether it will be copied into the project or uploaded for an app to reference.
Why use it?
They define where images are generated, how existing uploads are checked and reused, and what to do when image-generation credentials are unavailable.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is miikkij/aimeat-protocol's own configuration. It tells Claude Code how to work on aimeat-protocol 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 aimeat-protocol configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is uv run python scripts/gen_image.py --out icons/agent-badge "a glowing AI agent badge, coral-red accent".

Reuse

Borrowing it

Nothing to install: this file belongs to miikkij/aimeat-protocol. 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/miikkij/aimeat-protocol/main/.claude/skills/aimeat-imagery/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/miikkij/aimeat-protocol

Made for: Claude Code.

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 aimeat-imagery

README.md
[![agentmods](https://agentmods.dev/badge/skills/miikkij/aimeat-protocol/aimeat-imagery/github.svg)](https://agentmods.dev/skills/miikkij/aimeat-protocol/aimeat-imagery)
Your own site
<a href="https://agentmods.dev/skills/miikkij/aimeat-protocol/aimeat-imagery"><img src="https://agentmods.dev/badge/skills/miikkij/aimeat-protocol/aimeat-imagery/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.

agentmods 80×15 button for aimeat-imagery

Your own site · 80×15
<a href="https://agentmods.dev/skills/miikkij/aimeat-protocol/aimeat-imagery"><img src="https://agentmods.dev/badge/skills/miikkij/aimeat-protocol/aimeat-imagery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 679 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00062 $0.00679
Opus 5.5 $0.00025 $0.00272
Sonnet 5.5 $0.00012 $0.00136
Haiku 4.5 $0.00006 $0.00068

Measured 1mo ago against content hash 8f2d23ab406e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aimeat-imagery 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 1mo 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.

.claude/skills/aimeat-imagery/SKILL.md · 26 lines

What it actually says

Generating imagery

No stock, clip-art or placeholder images. When a task needs a picture, generate a proper AIMEAT-quality one with scripts/gen_image.py.

uv run python scripts/gen_image.py --out icons/agent-badge "a glowing AI agent badge, coral-red accent"
uv run python scripts/gen_image.py --out banners/hero --size 1344x576 "wide hero banner for the CADENCE CRM app"
uv run python scripts/gen_image.py --out app/logo --upload "the DROP app logo, minimal geometric mark"
  • Config is scripts/.env (copy from scripts/.env.example): OPENROUTER_API_KEY + IMAGE_MODEL, and for --upload also AIMEAT_APP_LOGIN_USER + AIMEAT_APP_LOGIN_PASSWORD. There is no python on PATH on the developer's machines, so every command goes through uv run python. The capability activates only when that key is set. If it is not, tell the developer rather than falling back to a placeholder.

  • Check genimages/uploads.json before generating. Every --upload is logged there with URL, storage key, account GHII, model and prompt. Reuse an already-uploaded image instead of paying for it twice.

  • Output lands in genimages/<subfolder>/ (gitignored). Pick the subfolder by where the image is headed. Then either copy the chosen file into the project (public/, an app bundle, aimeat-desktop/.../icons) or --upload it to AIMEAT storage for apps to reference by URL.

  • House style is applied automatically (HOUSE_STYLE in scripts/gen_image.py). Pass --no-style only when a specific look demands it. The default leans flat vector, not 3D render.

    Bright, warm and alive is the house style, and it is not negotiable by drift. Light ground, vivid coral-red #E8564A, warm sunlit support, high contrast, a sense of motion. Darks are for outlines and type, never for the background.

    This is written down because the opposite was: the style string used to name "deep near-black #0E1116" and "cool neutral slate grays", every model obliged, and the result was a year of dark, lifeless, interchangeable images that were each technically on-brand. Jouni's words on 2026-08-16: tired of images that are gloomy and lifeless. If an image needs a dark ground, the CALLER asks for it in the subject; the house style never supplies one unasked.

    Look at what you generated before you ship it. Read the file. A prompt that says "bright" and a picture that is not are two different things, and only one of them is what the person gets.

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. 1mo ago Changed 8f2d23ab406e
  2. 2mo ago First seen · 26 lines · 62 tokens per session scan A 499fa574bc0c

Subscribe to this mod's changes

aimeat-imagery is a skill published in the GitHub repository miikkij/aimeat-protocol (10 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 679 once invoked, about $0.0002 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 2026-08-31.

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