Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add unclecode/claude-code-tools --skill gemini-imagegengit clone --depth 1 https://github.com/unclecode/claude-code-toolsWrote 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/skills/unclecode/claude-code-tools/gemini-imagegen)<a href="https://agentmods.dev/skills/unclecode/claude-code-tools/gemini-imagegen"><img src="https://agentmods.dev/badge/skills/unclecode/claude-code-tools/gemini-imagegen/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/skills/unclecode/claude-code-tools/gemini-imagegen"><img src="https://agentmods.dev/badge/skills/unclecode/claude-code-tools/gemini-imagegen.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 | $0.00075 | $0.01435 |
| Opus 5.5 | $0.00030 | $0.00574 |
| Sonnet 5.5 | $0.00015 | $0.00287 |
| Haiku 4.5 | $0.00007 | $0.00144 |
Grade A, and why
gemini-imagegen scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
## REST API (curl) How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Image Generation (Nano Banana)
Generate and edit images using Google's Gemini API. The environment variable GEMINI_API_KEY must be set.
Available Models
| Model | Alias | Resolution | Best For |
|---|---|---|---|
gemini-2.5-flash-image |
Nano Banana | 1024px | Speed, high-volume tasks |
gemini-3-pro-image-preview |
Nano Banana Pro | Up to 4K | Professional assets, complex instructions, text rendering |
Quick Start Scripts
Text-to-Image
python scripts/generate_image.py "A cat wearing a wizard hat" output.png
Edit Existing Image
python scripts/edit_image.py input.png "Add a rainbow in the background" output.png
Multi-Turn Chat (Iterative Refinement)
python scripts/multi_turn_chat.py
Core API Pattern
All image generation uses the generateContent endpoint with responseModalities: ["TEXT", "IMAGE"]:
import os
import base64
from google import genai
client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
response = client.models.generate_content(
model="gemini-2.5-flash-image",
contents=["Your prompt here"],
)
for part in response.parts:
if part.text:
print(part.text)
elif part.inline_data:
image = part.as_image()
image.save("output.png")
Image Configuration Options
Control output with image_config:
from google.genai import types
response = client.models.generate_content(
model="gemini-3-pro-image-preview",
contents=[prompt],
config=types.GenerateContentConfig(
response_modalities=['TEXT', 'IMAGE'],
image_config=types.ImageConfig(
aspect_ratio="16:9", # 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9
image_size="2K" # 1K, 2K, 4K (Pro only for 4K)
),
)
)
Editing Images
Pass existing images with text prompts:
from PIL import Image
img = Image.open("input.png")
response = client.models.generate_content(
model="gemini-2.5-flash-image",
contents=["Add a sunset to this scene", img],
)
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 191 lines · 75 tokens per session scan A d19969a7b436
gemini-imagegen is a skill published in the GitHub repository unclecode/claude-code-tools (4 stars, last pushed 10mo ago), licensed MIT. It adds 75 tokens to every session and 1,435 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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