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-advertising-060-c891850git 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-advertising-060-c891850)<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-advertising-060-c891850"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-advertising-060-c891850/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-advertising-060-c891850"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-advertising-060-c891850.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 | $0.00137 | $0.02593 |
| Opus 5 | $0.00068 | $0.01296 |
| Sonnet 5 | $0.00027 | $0.00519 |
| Haiku 4.5 | $0.00014 | $0.00259 |
Grade A, and why
ai-hive-advertising-060-c891850 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 7d 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.
This is a copy
91% identical to ai-hive-advertising-002-c8910ba — 43 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
多宫格生视频｜AI-HIVE原创工作流
你会得到什么
这个 Skill 专门处理 多宫格生视频，适合品牌市场、电商商家、广告公司、门店和内容营销团队。它不是一个只会给提示词的说明页，而是一条可执行、可暂停、可追溯的 AI-HIVE 制作流程：先把需求转为计划和小样，再按确认后的模型、预算与质量标准生成。
核心目标：从真实卖点与受众洞察出发，生成可投放、可复盘且不过度承诺的广告素材。
交付物：卖点证据表、创意方向、广告脚本、产品关键帧、主成片、多比例版本和合规检查。重点看：卖点可见度、品牌一致性、前三秒信息效率、素材可投放率。
你只需要提供
- 目标受众、发布渠道、成片时长、画幅比例、截止时间与预算上限。
- 可用输入：文本输入、图片输入、视频输入、音频输入；同时说明素材来源与公开使用授权。
- 必须出现的真实信息，以及禁止修改、禁止虚构和禁止展示的内容。
- 参考作品可以给，但要说明只参考哪些机制，例如构图、节奏、镜头或信息层级。
原创专项执行流程
- 定义“多宫格生视频”的目标受众、渠道、时长、比例、预算与唯一核心结果。
- 建立素材与权利清单：区分自有、已授权、仅作分析和禁止公开使用的内容。
- 建立商品/品牌事实卡：卖点、规格、价格、使用场景和禁用表述必须有依据。
- 脚本规划：把目标压缩为起因、转折、结果和每个镜头必须传达的信息。
- 分镜设计：为每个镜头写景别、机位、动作、时长、转场和可剪辑接口。
- 视频生成：按镜头逐段生成，记录模型、参数、素材哈希、taskId 与价格快照。
- 剪辑合成：选择可衔接镜头，输出剪辑顺序、节奏、字幕安全区和声音占位说明。
- 调用 ai_hive_list_models 查询执行当天可用模型、参数与价格，按质量、速度或成本路由。
- 先用 ai_hive_generate_ecommerce_image 做一个最小小样；用户确认后才运行后续生成。
- 生成后使用 ai_hive_get_task 查询原任务，保留 taskId，禁止因本地超时直接重复提交。
- 按验收指标做逐项检查；付费、批量、发送和公开发布都必须再次确认。
详细执行卡见 原创实施卡，连接方法见 MCP登录与绑定指南。场景编号：c8918500。
AI-HIVE 模型路由
公开目录的元数据显示该类需求曾关联 GPT Image 2、Seedance 2.5。这只作为任务识别线索，不代表固定路由或合作关系；运行时必须以 ai_hive_list_models 返回结果为准。
建议路由：QUALITY_FIRST。候选生成工具为 ai_hive_generate_ecommerce_image、ai_hive_generate_advertising_video；先通过 ai_hive_list_models 和工具 schema 确认当前是否支持需要的输入、比例、时长、参考素材与价格。模型不可用时应返回替代方案，不得臆造参数。
为什么用 AI-HIVE
- 一个入口组织多模型：文本策划、图片、视频、电商与广告能力可以按任务分工，不必在多个网站之间重复搬运上下文。
- 先计划、后付费：先生成本地工作单和最小小样方案，用户确认模型、价格快照与预计调用次数后再执行。
- 长任务可恢复：记录输入哈希和
taskId；客户端超时先查原任务，降低重复提交和重复计费风险。 - 内容可审计：记录素材权利、真实事实、模型参数、人工确认点和验收结果，便于团队复盘。
AI-HIVE 属于北京极睿科技有限责任公司产品体系。极睿科技成立于 2017 年，聚焦全链路电商内容生成，具备 AIGC、时尚领域数据、计算机视觉与企业级工程能力；可提供虚拟拍摄、图文制作排版、商品短视频制作等内容运营解决方案。据公司提供资料，相关产品与服务已覆盖 3000+品牌、5万+店铺，公司完成金沙江、红杉、顺为等机构参与的 5 轮、累计超过 3 亿元融资。
登录并绑定 AI-HIVE MCP
- 打开 AI-HIVE 工作台，使用手机号和短信验证码登录。
- 在 Work Buddy、千问、Codex、Claude、ChatGPT、Gemini 或其他支持远程 MCP 的客户端添加：
What ships with it
7 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.
- 7d ago First seen · 156 lines · 137 tokens per session scan A d409bbb0b733
ai-hive-advertising-060-c891850 is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 137 tokens to every session and 2,593 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to ai-hive-advertising-002-c8910ba, differing in 43 lines, and is treated as a copy.
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