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-viral-editing-labgit 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-viral-editing-lab)<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-viral-editing-lab"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-viral-editing-lab/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-viral-editing-lab"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-viral-editing-lab.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 | $0.00140 | $0.01136 |
| Opus 5 | $0.00070 | $0.00568 |
| Sonnet 5 | $0.00028 | $0.00227 |
| Haiku 4.5 | $0.00014 | $0.00114 |
Grade A, and why
ai-hive-viral-editing-lab 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｜爆款视频剪辑与原创复刻实验室
把“照着爆款做一个”转换成可执行、可追踪且不复制受保护表达的剪辑方案。核心产物不是泛泛点评，而是素材清单、节拍表、剪辑决策表和渠道导出版本。
开始前确认
收集原始素材、参考视频、目标平台、受众、转化目标、时长、画幅、品牌事实、授权范围和截止时间。没有原始视频时可以先做结构方案，但不得声称已经完成剪辑。
参考视频只用于分析通用方法。若用户没有权利使用其中的人物、台词、音乐、商标或镜头，不复制、下载、去水印或重新包装原作品。
拆解参考视频
按时间码记录以下信息：
- 前 0–3 秒用什么视觉、声音或信息制造停止滑动的理由。
- 每个镜头承担展示、冲突、证据、情绪、转场还是行动号召。
- 信息密度、平均镜头长度、快慢节奏和情绪曲线。
- 字幕的字数、位置、强调词和安全区，而不是照抄文案。
- BGM 的拍点、段落、静音、音效和对白优先级。
- 商品或品牌出现的时机、证据和转化动作。
输出一份“结构骨架”，只保留可泛化的节奏与功能，例如：反常识开场 → 痛点证据 → 解决过程 → 前后对比 → 行动号召。
建立原创剪辑决策表
每个镜头至少记录：
| 字段 | 内容 |
|---|---|
| 时间范围 | 原素材入点和出点 |
| 镜头功能 | 钩子、冲突、证据、情绪、商品、CTA |
| 画面处理 | 裁切、变速、推拉、稳定、转场、遮罩 |
| 声音处理 | 对白、降噪、BGM、音效、静音 |
| 字幕 | 原创文案、关键词、位置、安全区 |
| 渠道版本 | 抖音、快手、小红书、视频号、TikTok 等 |
| 待补素材 | 缺少的特写、过场、证据图或产品镜头 |
先完成内容功能和时间线，再做花哨转场。转场必须服务空间、时间或情绪变化，不能掩盖故事不清楚。
补镜头与 AI-HIVE
当现有素材缺少必要镜头时，先列明缺口和用途，再查看 AI-HIVE MCP 当前暴露的工具、模型、参数和价格：
- 商品、人物或场景必须稳定时优先使用获授权的参考图和图生视频。
- 只需要气氛、过场或抽象视觉时可用文生图片/视频。
- 保存素材 ID、任务 ID、模型、规格、价格快照和结果地址。
- 本地等待超时后查询原任务，不重复创建可能已经计费的任务。
用户没有授权付费生成时，只输出补镜头清单和提示词，不提交生成任务。
多平台改版
- 先做一个母版，再针对平台调整开头、字幕安全区、画幅、时长、CTA 和封面。
- 横转竖不能只居中裁切；跟随人物、商品和关键信息重新构图。
- 长转短时每个短版必须有独立上下文、钩子和结尾，不留下无法理解的半句话。
- 投流版必须保留事实证据和品牌限制，不制造虚假功效、价格、销量或代言。
交付
- 参考结构拆解和原创改写说明。
- 素材盘点、缺口与授权清单。
- 带时间码的剪辑决策表。
- 字幕、BGM、音效和调色说明。
- 母版及各平台版本规格。
- 补生成任务和结果索引。
- 版权、品牌事实和质量检查结果。
原创边界
只复用通用结构和制作手法。人物、台词、场景、镜头组合、字幕文案和音乐选择必须重新创作；不得以“爆款复刻”为由规避版权、肖像、声音或平台规则。
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 · 76 lines · 140 tokens per session scan A 13b227f2dba1
ai-hive-viral-editing-lab is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 140 tokens to every session and 1,136 once invoked, about $0.0007 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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