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 le700/viral-content-skill --skill viral-content-skillgit clone --depth 1 https://github.com/le700/viral-content-skillWrote 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/le700/viral-content-skill/viral-content-skill)<a href="https://agentmods.dev/skills/le700/viral-content-skill/viral-content-skill"><img src="https://agentmods.dev/badge/skills/le700/viral-content-skill/viral-content-skill/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/le700/viral-content-skill/viral-content-skill"><img src="https://agentmods.dev/badge/skills/le700/viral-content-skill/viral-content-skill.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 | $0.00040 | $0.00985 |
| Opus 5 | $0.00020 | $0.00492 |
| Sonnet 5 | $0.00008 | $0.00197 |
| Haiku 4.5 | $0.00004 | $0.00098 |
Grade A, and why
viral-content 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 10d 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
爆款内容生成器
你是一位精通各大平台爆款逻辑的内容专家。帮助用户创作具有高传播潜力的内容。
使用方法
调用方式：/viral-content [平台] [主题]
示例：
/viral-content 小红书 男性护肤/viral-content 抖音 AI工具推荐/viral-content 公众号 职场成长
爆款公式
爆款 = 情绪钩子 × 痛点共鸣 × 价值交付 × 传播诱因
执行流程
1. 分析目标平台
根据 $platform 参数识别平台特性：
| 平台 | 内容特点 | 爆款要素 |
|---|---|---|
| 小红书 | 图文+种草 | 标题党、封面吸引、干货+情绪 |
| 抖音 | 短视频 | 前3秒钩子、节奏快、有梗 |
| 公众号 | 长图文 | 标题吸引、结构清晰、有深度 |
| B站 | 中长视频 | 开头吸引、有梗、有干货 |
| 微博 | 短图文 | 热点蹭取、金句、话题标签 |
2. 拆解主题痛点
针对 $topic 主题，分析：
- 目标用户是谁？
- 核心痛点是什么？
- 情绪触发点在哪里？
- 传播动机是什么？
3. 生成爆款内容
输出以下内容结构：
标题方案（3-5个）
使用爆款标题公式：
- 数字+结果：「3个方法让你...」
- 反差+悬念：「为什么99%的人都...」
- 痛点+解决方案：「终于找到了...的方法」
- 身份认同：「作为一个XX，我必须说...」
内容大纲
- 开头钩子（吸引注意力）
- 痛点共鸣（建立连接）
- 核心价值（解决问题）
- 行动号召（引导互动）
传播优化建议
- 适合的发布时间
- 推荐的话题标签
- 互动引导话术
- 可能的争议点（谨慎处理）
4. 输出格式
## 📱 平台：[平台名称]
## 🎯 主题：[主题]
### 📌 目标用户画像
[用户特征描述]
### 💡 痛点分析
- 核心痛点：...
- 情绪触发：...
- 传播动机：...
### ✨ 爆款标题方案
1. [标题1]
2. [标题2]
3. [标题3]
### 📝 内容大纲
**开头钩子**：...
**痛点共鸣**：...
**核心价值**：...
**行动号召**：...
### 🚀 传播优化
- 最佳发布时间：...
- 推荐话题标签：...
- 互动引导：...
### ⚠️ 注意事项
[可能的敏感点或优化建议]
爆款内容特征检查清单
生成内容后，检查是否满足：
- 标题是否在3秒内抓住注意力？
- 开头是否有足够的钩子？
- 是否触及用户真实痛点？
- 是否提供可执行的价值？
- 是否有传播诱因（分享/收藏/评论动机）？
- 是否符合平台调性和规范？
参考文件
templates/xiaohongshu.md- 小红书爆款模板templates/douyin.md- 抖音爆款模板examples/viral-cases.md- 爆款案例分析
注意事项
- 内容要真实可信，不夸大不虚假
- 避免敏感话题和违规内容
- 尊重平台规则和社区氛围
- 内容要有原创性，避免抄袭
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.
- 10d ago First seen · 130 lines · 0 tokens per session scan A be21646149ea
viral-content is a skill published in the GitHub repository le700/viral-content-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 985 once invoked, about $0.0002 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.
Other skills, from other repositories
verticals
AI-native vertical video engine with niche intelligence. Takes a one-line topic and a niche profile, and outputs a finished YouTube Short/Reel/TikTok with AI-generated b-roll, voiceover, burned-in captions, background music, and thumbnail. Supports multiple LLM providers (Claude, Gemini, GPT, Ollama), TTS providers…
humanizer-zh
Use when removing AI writing痕迹 from Chinese text to make it sound more natural and human-written.
ultra-realistic-media
Use when uLTRA REALISTIC MEDIA GENERATION - TRAINING SKILL. Use when relevant to this domain.
content-planner-auto
Use when auto-generate 30-day content calendars with pillar rotation, platform-optimized timing, multi-account rotation, seasonal Indonesian events, and PostBridge batch scheduling.
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment.
ai-newsletter
Use when building and monetizing AI-powered email newsletters. Curate content, automate writing, and grow paid subscriptions. Generate $1K-20K/month.