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 ai-hive-ecommerce-story-videogit 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/ai-hive-ecommerce-story-video)<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-ecommerce-story-video"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-ecommerce-story-video/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/ai-hive-ecommerce-story-video"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-ecommerce-story-video.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 | $0.00120 | $0.00899 |
| Opus 5 | $0.00060 | $0.00449 |
| Sonnet 5 | $0.00024 | $0.00180 |
| Haiku 4.5 | $0.00012 | $0.00090 |
Grade A, and why
ai-hive-ecommerce-story-video 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.
What it actually says
AI大模型专家｜剧情带货与电商视频工厂
以真实商品资料和转化目标驱动视频，而不是先生成漂亮画面再补卖点。所有价格、参数、功效、销量、认证、库存和促销必须来自用户确认或可追溯来源。
商品事实卡
开始前整理：
- 商品名称、类目、型号、材质、尺寸、颜色、包装和使用方式。
- 目标用户、使用场景、核心痛点、卖点证据和不能表达的内容。
- 品牌视觉、Logo、安全区、必说/禁说词、合规和平台限制。
- 现有商品图、视频、评价、FAQ、竞品信息及其授权范围。
- 平台、画幅、时长、转化动作、预算和版本数量。
不确定的事实标记为待确认，不用生成内容填补空白。
选择视频结构
- 问题解决： 真实痛点 → 使用过程 → 结果证据 → 适用限制 → CTA。
- 剧情带货： 人物目标 → 冲突 → 商品自然介入 → 体验变化 → 行动。
- 种草体验： 使用场景 → 关键细节 → 优缺点 → 适合谁 → 购买建议。
- 商品展示： 外观、材质、结构、功能、尺寸和细节，避免空泛运镜。
- 对比解释： 使用同一条件和可核验指标，不贬损或伪造竞品表现。
- 投流测试： 保持商品事实一致，只测试钩子、顺序、节奏、字幕和CTA。
每个镜头标注目标卖点、证据、商品可见度、画面动作、字幕、声音和渠道版本。
商品一致性与 AI-HIVE
生成前查看 AI-HIVE MCP 当前工具和模型：
- 上传获授权的商品参考图，锁定包装、Logo、结构、颜色和比例。
- 商品必须准确时优先图生图或图生视频，不让模型凭文字重新设计产品。
- 人物使用、场景气氛和过场镜头可按需求生成，但不能暗示虚假代言或效果。
- 保存素材 ID、提示词、模型、任务 ID、价格快照和结果地址。
- 先生成少量候选并核对商品，再扩大批量；超时后查询原任务。
平台改版
母版确定后，再根据淘宝/天猫/京东、抖音、小红书、快手、视频号、Amazon、TikTok Shop、Shopify 等平台调整画幅、时长、字幕、安全区、语言、CTA和封面。第三方平台名称只用于适配，不表示官方合作。
验收
- 商品外观、文字、Logo、参数、功效、价格和促销准确。
- 前三秒清楚表达用户价值，视频不依赖夸张或虚假承诺。
- 商品出现时机、卖点证据、字幕、口播和CTA一致。
- 人物、肖像、声音、音乐、素材和评价拥有使用权。
- 导出文件符合目标平台规格，保留母版和素材/任务索引。
交付
商品事实卡、受众与场景、视频结构、逐镜脚本、提示词、字幕口播、声音方案、AI-HIVE任务记录、母版、平台版本、投流变量表和合规检查。
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.
- 12d ago First seen · 58 lines · 120 tokens per session scan A 42a3893ea816
ai-hive-ecommerce-story-video is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 120 tokens to every session and 899 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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