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 T8mars/T8-penguin-canvas --skill product-image-directiongit clone --depth 1 https://github.com/T8mars/T8-penguin-canvasWrote 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/t8mars/t8-penguin-canvas/product-image-direction)<a href="https://agentmods.dev/skills/t8mars/t8-penguin-canvas/product-image-direction"><img src="https://agentmods.dev/badge/skills/t8mars/t8-penguin-canvas/product-image-direction/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/t8mars/t8-penguin-canvas/product-image-direction"><img src="https://agentmods.dev/badge/skills/t8mars/t8-penguin-canvas/product-image-direction.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 | $0.00042 | $0.00608 |
| Opus 5.5 | $0.00017 | $0.00243 |
| Sonnet 5.5 | $0.00008 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
product-image-direction 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 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.
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
商品主视觉 / Product-led image
把用户的一张商品图变成一张有明确卖点、可信材质和清晰视觉层级的广告创意图。跟随用户使用的语言；英文需求用英文交付。尊重用户指定的风格、比例、受众和保留范围，不把所有产品做成同一种奢华棚拍。
从素材到方向
先区分看得见的产品事实、用户明确提供的事实和需要保留的不确定性。保留主体形状、包装比例、配色、材质、可辨认的标志及数量；不要从模糊图中猜品牌、成分、价格、功效或认证。
没有商品图时，只问用户提供哪张商品图，不凭空替换商品。用户给多张图且主商品不明确时，只问哪一张作为本次主体；其他图不能悄悄变成混合产品。没有额外要求时，以单主体、适度留白、清晰材质光和一张成品为起点，比例优先跟随输入。不要重复询问已给出的信息。
从用户目标选择一个视觉动作：例如以背光说明透明材质、以近景表现触感、以相关生活场景说明用途。装饰必须服务主体，不加入未经要求的促销标、认证章或道具品牌。最终完整提示词应讲清主体保留、场景关系、构图、光线、材质和明确禁止的改动，避免堆砌互相冲突的风格词。
交付与修改
用户只要方向或提示词时，交付完整文本，不安排生成。用户明确要成图时，先简短说明方案，再通过宿主已有的图片动作与生成确认完成；说明、提示词和规划都不等于图片已经生成。
长提示词放入完整作品，聊天仅说明这版解决了什么。用户调整背景、光线等局部要求时，只改变相关描述；保留未要求变化的产品事实与已接受方向。宿主只支持整图生成时，明确说明不能保证逐像素局部编辑，不声称主体绝对不变。
生成后用 产品验收要点 对照原图。无法可靠读出的文字标为待核对，不以“高清”“商业级”替代检查。不要自动反复付费重绘或覆盖已采用作品。
What ships with it
1 file 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 · 28 lines · 42 tokens per session scan A 06e7c7718de5
product-image-direction is a skill published in the GitHub repository T8mars/T8-penguin-canvas (633 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 608 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-13.
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