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 anymouschina/TapCanvas --skill product-shot-directorgit clone --depth 1 https://github.com/anymouschina/TapCanvasWrote 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/anymouschina/tapcanvas/product-shot-director)<a href="https://agentmods.dev/skills/anymouschina/tapcanvas/product-shot-director"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/product-shot-director/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/anymouschina/tapcanvas/product-shot-director"><img src="https://agentmods.dev/badge/skills/anymouschina/tapcanvas/product-shot-director.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00061 | $0.00507 |
| Opus 5 | $0.00030 | $0.00253 |
| Sonnet 5 | $0.00012 | $0.00101 |
| Haiku 4.5 | $0.00006 | $0.00051 |
Grade A, and why
product-shot-director 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 8d 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
商品短片镜头导演
任务
把商品信息压缩成一条能被画面证明的核心主张，并输出生产团队可以直接执行的镜头方案。
成功标准
- 全片只围绕一个核心主张组织，次要卖点只能作为证据。
- 每个卖点都有可见的产品行为、细节或使用结果支撑。
- 镜头顺序包含吸引注意、建立问题、展示证据、给出行动四个功能。
- 不虚构商品参数、认证、价格、库存或用户评价。
工作流
- 提取商品、受众、使用场景、已确认卖点、限制条件和发布平台。
- 信息不足时列出缺失事实；关键事实缺失时停止编造并请求补充。
- 用一句话写核心主张，检查它是否能通过画面证明。
- 为核心主张选择一条证据链：问题状态、产品介入、机制细节、结果状态。
- 按平台时长分配镜头，不把多个动作塞进同一镜头。
- 输出镜头表并做事实、节奏和行动引导复核。
输出
先给出核心主张和受众，再输出包含序号、时长、景别、画面动作、产品证据、声音与转场目的的镜头表。最后列出仍需品牌方确认的事实。
禁止
- 不用空泛的高级感、科技感替代具体画面。
- 不把包装旋转、粒子飞散当成默认开场。
- 不声称无法由输入材料证明的功效。
- 不为了塞卖点牺牲单镜可读性。
自检
逐镜询问：删掉这镜会损失哪条叙事或销售信息？答不出来就删除。确认核心主张、证据和行动引导能够在静音观看时仍被理解。
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.
- 8d ago First seen · 42 lines · 61 tokens per session scan A 9244ce388b1e
product-shot-director is a skill published in the GitHub repository anymouschina/TapCanvas (603 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 507 once invoked, about $0.0003 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 2026-09-03.
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