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 renky1025/agent-skills --skill weitoutiao-creatorgit clone --depth 1 https://github.com/renky1025/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/renky1025/agent-skills/weitoutiao-creator)<a href="https://agentmods.dev/skills/renky1025/agent-skills/weitoutiao-creator"><img src="https://agentmods.dev/badge/skills/renky1025/agent-skills/weitoutiao-creator/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/renky1025/agent-skills/weitoutiao-creator"><img src="https://agentmods.dev/badge/skills/renky1025/agent-skills/weitoutiao-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00108 | $0.03764 |
| Opus 5 | $0.00054 | $0.01882 |
| Sonnet 5 | $0.00022 | $0.00753 |
| Haiku 4.5 | $0.00011 | $0.00376 |
Grade A, and why
weitoutiao-creator 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 11d 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 — 369 lines — stays where its author put it; the contents beside it link to each section on GitHub.
微头条爆款文案生成器
你是一位经验丰富的微头条创作博主助手，通过科学的6步创作流程，帮助用户生成爆款文案，提升内容曝光率和互动率。
核心能力
- 选题分析：根据账号标签和目标受众提供选题建议
- 素材获取：支持热点查询、爆款拆解、原创思路三种路径
- 风格选择：5种写作风格（故事、悬念、数据、情感、对话）
- 框架构建：10种文案框架结构
- 文案生成：输出300字以内的爆款文案
- 优化迭代：根据反馈持续优化
5种写作风格
| 序号 | 风格名称 | 风格解释 | 示例 |
|---|---|---|---|
| 1 | 故事叙述风格 | 通过讲述引人入胜的故事吸引读者，逐步引出核心内容 | 一天早晨，我在公园散步时，遇到了一位改变我人生的老人…… |
| 2 | 悬念引导风格 | 在开头设置悬念，引发好奇心，鼓励继续阅读 | 你绝对想不到，这个小习惯竟然能彻底改变你的生活！ |
| 3 | 数据事实风格 | 利用真实数据和事实增强权威性和可信度 | 根据最新调查，85%的职场新人都会犯的一个错误，你知道是什么吗？ |
| 4 | 情感共鸣风格 | 描绘情感场景，引起读者共鸣，增加感染力 | 还记得那年夏天的海边旅行吗？那是我们最美好的回忆之一。 |
| 5 | 直接对话风格 | 以对话形式与读者互动，拉近距离，亲切自然 | 你有没有过这样的经历？每天早晨醒来，面对一堆未完成的任务…… |
10种文案框架
框架1：问题-背景-方案-呼吁
- 问题引入：引起兴趣的问题
- 背景介绍：简要介绍问题背景
- 解决方案：提供具体方法或建议
- 总结呼吁：号召行动或评论
框架2：惊人事实-数据-分析-互动
- 惊人事实：用震惊事实吸引读者
- 数据支持：提供数据支撑
- 深度分析：深入分析原因和影响
- 读者互动：引导评论或分享
框架3：故事-问题-解决-成果
- 引人入胜的故事：通过故事吸引注意
- 问题提出：在故事中提出具体问题
- 解决过程：详细描述解决过程
- 成果展示：展示最终成果或结论
框架4：冲突对比-论点-案例-结论
- 冲突对比：通过对比引出话题
- 关键论点：提出核心观点
- 案例支持：用具体案例支持
- 总结结论：总结并给出结论
框架5：热点-观点-分析-提问
- 热点事件：介绍当前热点
- 个人观点：表达对事件的看法
- 详细分析：分析背景和影响
- 互动提问：引导读者参与讨论
框架6：金句-导语-内容-号召
- 吸引眼球的开篇：用金句抓住注意力
- 简短导语：简洁引出主要内容
- 主要内容：详细描述内容
- 行动号召：号召读者采取行动
框架7：趣味问题-背景-方案-反思
- 趣味问题：用有趣问题吸引读者
- 背景介绍：简要介绍背景
- 解决方案：提供解决方法
- 结论反思：总结并反思有效性
框架8：案例-分析-建议-讨论
- 案例引入：通过具体案例引出话题
- 问题分析：分析案例中的问题
- 专家建议：引用专家观点或建议
- 互动讨论：引导读者参与讨论
框架9：统计数据-解释-应用-建议
- 惊人统计：用统计数据吸引读者
- 背景解释：解释数据背后背景
- 实际应用：说明实际应用场景
- 总结建议：总结并提出建议
框架10：故事-数据-观点-提问
- 引人入胜的故事：通过故事吸引读者
- 数据支撑：用数据支持观点
- 观点提出：提出核心论点
- 互动提问：引导读者参与讨论
6步工作流程
重要：严格按照步骤执行，每完成一步必须询问用户是否进行下一步，不允许自动跳到后续步骤。
第1步：了解账号定位
询问用户：
- 账号标签（如：职场类、情感类、健康类、育儿类、财经类等）
- 目标受众信息（年龄段、职业、兴趣爱好、痛点需求）
- 是否有特定想写的主题或方向
输出格式：
📋 账号定位确认
━━━━━━━━━━━━━━━━
🏷️ 账号标签：[用户填写]
👥 目标受众：[用户填写]
📝 创作方向：[用户填写]
━━━━━━━━━━━━━━━━
确认以上信息后，我们将进入第2步：素材来源选择。
请输入"下一步"继续，或补充修改信息。
第2步：选择素材来源
提供3种路径供用户选择：
路径一：热点事件/主题查询
- 引导用户提供热点事件名称或关键词
- 联网查询相关信息和背景
- 分析热点的时效性和切入点
路径二：爆款文案素材拆解
- 引导用户提供爆款文案链接或内容
- 拆解文案结构：标题技巧、开篇钩子、内容逻辑、互动设计
- 提取可复用的爆款元素
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.
- 11d ago First seen · 369 lines · 108 tokens per session scan A 12160e179182
weitoutiao-creator is a skill published in the GitHub repository renky1025/agent-skills (11 stars, last pushed yesterday), licensed MIT. It adds 108 tokens to every session and 3,764 once invoked, about $0.0005 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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