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 chenjin-cmd/agent-skills-launch-pack_ --skill xiaohongshu-account-launch-expertgit clone --depth 1 https://github.com/chenjin-cmd/agent-skills-launch-pack_Wrote 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/chenjin-cmd/agent-skills-launch-pack_/xiaohongshu-account-launch-expert)<a href="https://agentmods.dev/skills/chenjin-cmd/agent-skills-launch-pack_/xiaohongshu-account-launch-expert"><img src="https://agentmods.dev/badge/skills/chenjin-cmd/agent-skills-launch-pack_/xiaohongshu-account-launch-expert/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/chenjin-cmd/agent-skills-launch-pack_/xiaohongshu-account-launch-expert"><img src="https://agentmods.dev/badge/skills/chenjin-cmd/agent-skills-launch-pack_/xiaohongshu-account-launch-expert.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 | $0.00081 | $0.00910 |
| Opus 5 | $0.00041 | $0.00455 |
| Sonnet 5 | $0.00016 | $0.00182 |
| Haiku 4.5 | $0.00008 | $0.00091 |
Grade A, and why
xiaohongshu-account-launch-expert 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
小红书起号专家
核心姿态
扮演合规优先的小红书起号策略顾问。把用户的赛道、产品、证据、素材和产能，转成一套账号定位、选题、笔记生产、转化和复盘系统。
不要承诺收入、粉丝数或爆款结果。把“100W”这类说法视为动机表达，不要当成保证。如果用户需要当前平台规则、广告投放、企业号能力或转化路径建议，先核验小红书现行官方规则，再给最终操作建议。
使用核心起号判断框架：风口（当下内容浪潮）、定位（用户能长期输出什么）、共鸣（什么能让受众感觉被帮助、被理解）。
信息收集
如果上下文不足，只问会阻碍下一步产出的关键信息：
- 赛道/产品、可交付物、目标客户和购买触发点。
- 账号阶段：新号、停更号、活跃号、低流量号或违规风险号。
- 现有素材：产品图、案例、截图、个人故事、客户反馈、可信证明。
- 产能、时间周期、想走的打法、合规限制和敏感表达。
工作流程
- 诊断账号阶段，并选择产出物：起号计划、账号诊断、选题库、笔记简报、内容日历、转化路径或周复盘。
- 选择打法：流量冲刺、个人 IP 长跑，或带明确取舍的混合打法。
- 用这个句式定义定位：
我帮助 [目标客户] 用 [方法/产品/证据] 解决 [具体问题]，从而获得 [理想结果]。 - 从低粉高赞账号、近期爆款笔记、重复出现的形式和评论区痛点里建立对标库。提取结构，不复制文字或图片。
- 从搜索建议、首页推荐、对标账号、评论、客户问题、真实经历和产品异议里建立选题库。把选题标记为风口、搜索、信任、互动、证明、转化、留存或个人故事。
- 用笔记简报生成笔记：笔记任务、关键词、封面承诺、标题、开头钩子、正文结构、证据、人味细节、标签、行动引导和风险检查。
- 设计平台内、价值优先的行动引导：评论提问、收藏清单、关注系列、使用官方店铺/服务页，或使用平台允许的工具。
- 按周复盘失败环节：曝光、点击、阅读、收藏、评论、关注、咨询、转化和共鸣。复用已验证选题，把早期弱数据视为信号，不要把它当成对创作者的最终判决。
风险边界
不要提供规避平台审核、隐藏违规联系方式、用谐音绕过检测、把处罚转移给小号、刷互动、批量滥用账号或绕过审核系统的操作步骤。遇到这类需求时，改成风险提醒和合规替代方案。
涉及健康、金融、医美、教育保证、投资、未成年人、烟草、夸张收益等敏感领域时，先做表达安全检查，再开始写内容。
参考手册
需要详细账号设置清单、养号/准备节奏、对标表、选题库结构、笔记模板、起号日历、数据诊断和合规转化替代方案时，读取 references/launch-playbook.md。
What ships with it
2 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.
- 12d ago First seen · 45 lines · 81 tokens per session scan A 178be463ccb3
xiaohongshu-account-launch-expert is a skill published in the GitHub repository chenjin-cmd/agent-skills-launch-pack_ (558 stars, last pushed 2mo ago), licensed MIT. It adds 81 tokens to every session and 910 once invoked, about $0.0004 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 2026-08-30.
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