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 agentmods add skills/gopherguides/gopher-ai/gemini-imagenpx skills add gopherguides/gopher-ai --skill gemini-imagegit clone --depth 1 https://github.com/gopherguides/gopher-aiWrote 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/gopherguides/gopher-ai/gemini-image)<a href="https://agentmods.dev/skills/gopherguides/gopher-ai/gemini-image"><img src="https://agentmods.dev/badge/skills/gopherguides/gopher-ai/gemini-image.svg" alt="Measured on agentmods" 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 | $0.00084 | $0.01282 |
| Opus 5 | $0.00042 | $0.00641 |
| Sonnet 5 | $0.00017 | $0.00256 |
| Haiku 4.5 | $0.00008 | $0.00128 |
Grade A, and why
gemini-image scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
HTTP_STATUS=$(curl -s -o "$RESPONSE_FILE" -w "%{http_code}" -X POST \ How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Image Generation
You detected an image generation request. Confirm intent before proceeding.
Say: "It sounds like you want to generate an image. I can do that using the Gemini API. Let me walk you through the options."
If the user confirms, proceed. If not, stop.
Tip: You can also use /gemini-image <description> to generate images directly.
1. Check Prerequisites
echo "GEMINI_API_KEY set: $([ -n "$GEMINI_API_KEY" ] && echo 'yes' || echo 'no')"
which python3
If GEMINI_API_KEY is not set:
GEMINI_API_KEYis not set. Get one free at https://aistudio.google.com/apikey Then export it:export GEMINI_API_KEY="your-key-here"
Stop and wait for the user to set the key. If python3 is missing, inform the user Python 3 is required.
Note: The Gemini CLI's Nano Banana extension was investigated as an alternative generation path, but it has a known MCP tool registration bug (Gemini CLI v0.34.0 / Nano Banana v1.0.12). The REST API is the only reliable path right now.
2. Gather Image Details
Extract the image description from the user's request and confirm it. Then collect (ask the user or infer from context):
- Model — pick from the model table in
reference.md(it lists the current default and trade-offs) - Aspect ratio — infer from "banner"/"avatar"/"vertical"/etc., default
1:1 - Resolution —
1Kdefault; model-specific alternatives are listed inreference.md - Reference image — optional path to an existing file
- Output path — auto-generate a descriptive filename in CWD if not given
Do not prompt for a service tier. If the user explicitly requests one, use the model support matrix in reference.md; omit unsupported settings.
For full option matrices, model trade-offs, the aspect-ratio inference table, and service-tier support — Read reference.md.
Export the gathered values as environment variables. Always single-quote user-provided values to prevent shell injection (quotes, backticks, $):
What ships with it
3 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.
- 5d ago First seen · 117 lines · 84 tokens per session scan A 7c75d2745f73
gemini-image is a skill published in the GitHub repository gopherguides/gopher-ai (21 stars, last pushed today), licensed MIT. It adds 84 tokens to every session and 1,282 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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