huashu-skills is a catalogue of Agent Skills, which are reusable instruction packages that extend coding agents such as Claude Code, Codex, and Kimi Code for particular tasks. It organizes skills for design, research, document conversion, content creation, and other workflows, and includes machine-readable metadata and update checking. The catalogue entries are the skills and related tools that agents install and use.
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 alchaincyf/huashu-skills --skill huashu-video-checkgit clone --depth 1 https://github.com/alchaincyf/huashu-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/alchaincyf/huashu-skills/huashu-video-check)<a href="https://agentmods.dev/skills/alchaincyf/huashu-skills/huashu-video-check"><img src="https://agentmods.dev/badge/skills/alchaincyf/huashu-skills/huashu-video-check/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/alchaincyf/huashu-skills/huashu-video-check"><img src="https://agentmods.dev/badge/skills/alchaincyf/huashu-skills/huashu-video-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00056 | $0.03586 |
| Opus 5.5 | $0.00022 | $0.01434 |
| Sonnet 5.5 | $0.00011 | $0.00717 |
| Haiku 4.5 | $0.00006 | $0.00359 |
Grade A, and why
huashu-video-check 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.
How it starts
The opening of the file, as written. The whole thing — 410 lines — stays where its author put it; the contents beside it link to each section on GitHub.
视频封标与承接检查
基于MrBeast案例的视频标题、封面、内容承接专业检查能力，提升点击率和观看时长。
何时使用此Skill
当检测到以下场景时，自动加载此skill：
- 用户说"检查封标"、"检查标题和封面"、"检查内容承接"
- 视频脚本初稿完成后
- 用户提到"点击率低"、"观看时长短"
- 需要优化视频标题或封面
核心目标
- 提升点击率：标题和封面吸引用户点击
- 提升观看时长：内容承接好，用户看到结尾
- 建立可复用公式：标准化的封标承接策略
检查维度
1️⃣ 标题检查（强对比策略）
2️⃣ 封面检查（结果展示优先）
3️⃣ 内容承接检查（开头确认→中段惊喜→结尾兑现）
1️⃣ 标题检查：强对比策略
核心原则
聚焦最强对比，不要罗列所有内容
5种强对比公式
公式1：数量对比
格式：小数量 vs 大数量
示例：
- ✅ "1个Prompt写了1000行代码"
- ✅ "3个人 vs 300人的团队，谁能赢？"
- ✅ "用1个工具替代10个工具"
适用：教程类、效率类、工具类
公式2：价格对比
格式：低价 vs 高价 或 免费 vs 付费
示例：
- ✅ "200元 vs 2万元的AI，差距有多大？"
- ✅ "免费AI能做什么？我测了10个工具"
- ✅ "同样的功能，Claude比GPT贵10倍值吗？"
适用：评测类、对比类
公式3：结果对比
格式：低成果 vs 高成果 或 Before vs After
示例：
- ✅ "30万粉 vs 0粉，我只做对了这一件事"
- ✅ "从0到1000播放量，我用了3个技巧"
- ✅ "同样的视频，换个标题播放量翻10倍"
适用：经验分享类、成长类
公式4：强弱对比
格式：新手/弱者 vs 专家/强者
示例：
- ✅ "新手 vs Cursor：谁能更快写完这个功能？"
- ✅ "我让AI和程序员PK，结果惊了"
- ✅ "小白挑战用AI开发App"
适用：挑战类、实验类
公式5：时间对比
格式：短时间 vs 长时间 或 快 vs 慢
示例：
- ✅ "3分钟 vs 3小时：AI编程真的更快吗？"
- ✅ "我用1天做完别人1周的工作"
- ✅ "从学习到上手，Cursor只需要10分钟"
适用：教程类、效率类
标题类型选择表
| 内容类型 | 推荐标题类型 | 示例 |
|---|---|---|
| 教程类 | 结果对比、时间对比 | "Cursor一个功能让我效率翻倍" |
| 评测类 | 价格/性能对比 | "免费AI vs 付费AI，差距有多大？" |
| 挑战类 | 强弱/数量对比 | "新手挑战用AI开发App" |
| 经验分享类 | 结果对比 | "同样的视频，换个标题播放量翻10倍" |
避免的标题类型
❌ 罗列式："Cursor的5个常用功能"
- 问题：没有冲突，没有悬念
- 改进：聚焦1个最强功能 → "Cursor一个功能让我效率翻倍"
❌ 平淡式："Cursor使用教程"
- 问题：无吸引力，无具体价值
- 改进：加入结果对比 → "3分钟上手Cursor，效率提升5倍"
❌ 抽象式："AI编程的未来趋势"
- 问题：太抽象，无法想象画面
- 改进：具体化场景 → "我用AI写代码3个月，发现了这些问题"
标题检查清单
执行标题检查时，确认以下事项：
- 标题是否有明确的对比/冲突？（数量、价格、结果、强弱、时间）
- 标题是否聚焦1个核心点？（不罗列多个）
- 标题是否能让人想象出画面/场景？
- 标题是否建立了悬念？（想知道结果）
- 标题长度合适？（15-25字，不超过30字）
- 标题是否真实？（能在视频中兑现）
2️⃣ 封面检查：结果展示策略
核心原则
根据粉丝量和内容类型选择封面策略
人脸封面适用条件（谨慎使用）
✅ 适用场景：
- 粉丝量 > 10万（人脸有品牌价值）
- 内容类型：挑战类、Vlog类、强情绪内容
- 表情极端且一致（惊讶/兴奋/震撼）
- 已建立固定封面风格
❌ 不适用场景：
- 粉丝量 < 10万（人脸无品牌价值，结果更直接）
- 技术教程类（结果比情绪重要）
- 每期表情不同（无法建立记忆点）
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 · 410 lines · 56 tokens per session scan A 319aae013c17
huashu-video-check is a skill published in the GitHub repository alchaincyf/huashu-skills (2,025 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 3,586 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 2026-08-30.
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