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 wubin1836/ai-hive-agent-skills --skill ad-imagegit clone --depth 1 https://github.com/wubin1836/ai-hive-agent-skillsWrote 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/wubin1836/ai-hive-agent-skills/ad-image)<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ad-image"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ad-image/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/wubin1836/ai-hive-agent-skills/ad-image"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ad-image.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 | $0.00115 | $0.01218 |
| Opus 5 | $0.00057 | $0.00609 |
| Sonnet 5 | $0.00023 | $0.00244 |
| Haiku 4.5 | $0.00012 | $0.00122 |
Grade A, and why
ad-image 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.
How it starts
The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ad Creative Image
Overview
Ad Creative Image helps designers, e-commerce operators, advertisers, brand teams, social-commerce teams, and content creators turn briefs, product information, and reference images into production-ready visuals. Describe the purpose, subject, composition, style, lighting, required text, protected elements, and output needs; the bundled CLI handles AI Hive OpenAPI calls and downloads the result.
Why use this skill
- Brief to visual: work from plain-English direction instead of writing API requests
- Commercial workflows: create e-commerce, advertising, social-commerce, and campaign assets
- Controlled references: assign each input image a role such as subject, material, composition, or style
- Predictable model selection: the skill name matches the public model ID used by the script
- Live pricing and delivery: fetch active pricing, preserve task IDs, and download results automatically
Best for
Product photography, marketplace images, product detail pages, posters, ad creatives, social commerce, seeding content, retouching, and background replacement. It is also useful when users search for ad creative, advertising image, brand KV, performance marketing image.
Capabilities
| Model | publicModelId | Input |
|---|---|---|
| Ad Creative Image | public_model_nano_banana_2 |
Prompt with optional reference images |
The default route is COST_FIRST. Pass live model options with --param key=value; supported values come from the current AI Hive imageConfig.
Quick Start
pip3 install requests
python3 "$SKILL_PATH/scripts/imagegen.py" init --skill-name ad-image
python3 "$SKILL_PATH/scripts/imagegen.py" generate \
--prompt "Create a polished ad creative image visual with an accurate subject, clear composition, and commercial finish"
Usage Scenarios
1. Core generation or edit
python3 "$SKILL_PATH/scripts/imagegen.py" generate \
--prompt "Create a polished ad creative image result; preserve factual product details and leave useful copy space"
What ships with it
2 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.
- 12d ago First seen · 119 lines · 115 tokens per session scan A 478bb1800c48
ad-image is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 115 tokens to every session and 1,218 once invoked, about $0.0006 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 2026-08-31.
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