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-motion-shotgit 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-motion-shot)<a href="https://agentmods.dev/skills/t8mars/t8-penguin-canvas/product-motion-shot"><img src="https://agentmods.dev/badge/skills/t8mars/t8-penguin-canvas/product-motion-shot/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-motion-shot"><img src="https://agentmods.dev/badge/skills/t8mars/t8-penguin-canvas/product-motion-shot.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 | $0.00050 | $0.00552 |
| Opus 5.5 | $0.00020 | $0.00221 |
| Sonnet 5.5 | $0.00010 | $0.00110 |
| Haiku 4.5 | $0.00005 | $0.00055 |
Grade A, and why
product-motion-shot 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
商品动态镜头 / Product motion shot
把用户的一张商品参考图变成一段有起止状态、运动逻辑和视觉重点的连续镜头。使用用户的语言，不默认把一段短镜头扩成多场广告。
从参考图确认主体轮廓、包装、颜色、标志位置、当前摆放和可见环境。只使用用户提供或可观察的事实；无法读清的文字不猜。缺少主体参考时先请用户选一张图。多张图之间存在矛盾时，先明确本次主体，不偷偷拼接成新商品。
先决定镜头要揭示什么，再选择一种主运动，例如缓慢推近显示材质，或小幅侧移制造层次。镜头、产品和环境的运动要分开描述，避免同时要求高速环绕、变焦、旋转和多个产品变形。除非用户要求，商品保持稳定，环境只做少量可解释的变化。不编造背面设计，不透视穿过不透明包装，不把光影变化写成产品变色。
把完整镜头提示词写为可执行的时间进程：起始构图与产品状态、主要运动及节奏、结束构图与停留。时长与分辨率以宿主真实模型支持为准，不在技能中自造不存在的参数。用户未指定时，用当前模型支持的短时长；不能以固定“电影级”口号替代动作说明。
用户只要脚本或提示词时，仅交付完整文本。用户明确要生成视频时，使用宿主已有的视频动作和生成确认；不把提示词、静态图或任务已受理写成视频完成。此方法交付一个连续镜头，不承诺剪辑、配乐、配音或字幕。若用户需要这些，先说明本方法未覆盖的交付物。
结合 动态连续性核对 检查可见结果。修改时只改用户指出的运动、时长或构图，保留主体事实和已接受风格。已有结果保留，失败重做范围由用户明确，不自动追加付费次数。
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 · 22 lines · 50 tokens per session scan A 719bba4671f8
product-motion-shot is a skill published in the GitHub repository T8mars/T8-penguin-canvas (633 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 552 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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