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 Suge8/Bao --skill image-gengit clone --depth 1 https://github.com/Suge8/BaoWrote 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/suge8/bao/image-gen)<a href="https://agentmods.dev/skills/suge8/bao/image-gen"><img src="https://agentmods.dev/badge/skills/suge8/bao/image-gen/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/suge8/bao/image-gen"><img src="https://agentmods.dev/badge/skills/suge8/bao/image-gen.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 | $0.00020 | $0.00300 |
| Opus 5 | $0.00010 | $0.00150 |
| Sonnet 5 | $0.00004 | $0.00060 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
image-gen 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 9d 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.
What it actually says
Image Generation
When to Use
- User asks to create, draw, generate, or design an image/picture
- User describes a visual scene they want to see
Workflow
- Call
generate_image(prompt="detailed English description") - Tool returns an image contribution that Bao attaches to the final reply automatically
- Reply normally with a brief description; do not call a separate send tool for the current session
Prompt Tips
- Write prompts in English for best quality
- Be specific: style, mood, lighting, composition, colors
- Include art style if relevant: "watercolor", "photorealistic", "anime", "oil painting"
- One image per call; adjust prompt and retry if unsatisfied
- Use
aspect_ratiofor non-square images: "16:9" (landscape), "9:16" (portrait)
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.
- 9d ago First seen · 24 lines · 20 tokens per session scan A bc94d9d348c0
image-gen is a skill published in the GitHub repository Suge8/Bao (23 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 300 once invoked, about $0.0001 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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