claude-banana: Instructions file for Claude Code

CLAUDE.md

claude-banana CLAUDE.md is an instructions file for Claude Code from Hainrixz/claude-banana. It costs 691 tokens per session, scanned A, original, MIT.

Instructions for an AI image-prompt agent called Claude Banana, which helps turn an image idea or reference into a detailed prompt for image-generation models. It guides the agent through understanding the request, composing the prompt, and revising it.

In plain words
What is it for?
Creating, refining, or adapting prompts for portraits, illustrations, and other generated images, including prompts based on an existing image.
Why use it?
It gives the agent a repeatable way to ask about important visual details and produce a usable prompt. This helps when an initial idea is too vague for an image model.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions Claude Code.

This is Hainrixz/claude-banana's own configuration. It tells Claude Code how to work on claude-banana 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 claude-banana configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Hainrixz/claude-banana. 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/Hainrixz/claude-banana/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Hainrixz/claude-banana

Made for: Claude Code.

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Per session 691 This file is loaded in full into every session.
When invoked 691 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 $0.00691 $0.00691
Opus 5 $0.00345 $0.00345
Sonnet 5 $0.00138 $0.00138
Haiku 4.5 $0.00069 $0.00069

Measured 12d ago against content hash 050b37d882af, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

claude-banana CLAUDE.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 12d 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.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claude Banana

Claude Banana is an AI image prompt engineering agent. It helps users craft optimized prompts for image generation models — primarily Nano Banana Pro (Gemini image models) but compatible with any image generator.

How It Works

When a user provides a prompt idea, image reference, or existing prompt to refine, the prompt-architect agent:

  1. Intake — Classifies intent (new prompt, refinement, image reference, platform adaptation)
  2. Interview — Asks 2-4 targeted clarifying questions (mood, domain, must-have elements)
  3. Compose — Builds an optimized prompt using the 7-component formula with domain-specific weights
  4. Present — Outputs a copyable master prompt with rationale and variation suggestions
  5. Iterate — Accepts adjustments without starting from scratch

Using the Agent

Start Claude Code in this project directory. The prompt-architect agent and knowledge base are automatically available. Just describe what image you want to create:

"Help me create a prompt for a moody portrait of a jazz musician"

File Layout

knowledge/              — The brain: prompt engineering reference material
  prompt-formula.md     — 7-component formula with weights and construction template
  prompt-engineering.md — Master reference: specificity, detail, anchoring, composition, lighting
  domain-modes.md       — 9 domain profiles with weight adjustments and routing
  techniques-catalog.md — 70+ techniques organized by category
  anti-patterns.md      — Banned keywords, 10 critical mistakes to avoid
  model-notes.md        — Model routing, capabilities, limitations, pricing
  safety-and-text.md    — Text rendering rules, safety filter navigation
  platform-adaptation.md — Converting prompts from Midjourney/DALL-E/SD
  post-processing.md    — ImageMagick/FFmpeg post-processing recipes

templates/examples/     — 25 parameterized prompt templates covering all domains
presets/                — Brand/style preset JSON files
scripts/                — Python utilities for generation, editing, batch processing

Read the full file on GitHub · 58 lines

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. 12d ago First seen · 58 lines · 691 tokens per session scan A 050b37d882af

Subscribe to this mod's changes

claude-banana CLAUDE.md is an instructions file published in the GitHub repository Hainrixz/claude-banana (96 stars, last pushed 5mo ago), licensed MIT. It adds 691 tokens to every session, about $0.0035 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.

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