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 kangarooking/X-growth-skills --skill x-account-setupgit clone --depth 1 https://github.com/kangarooking/X-growth-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/kangarooking/x-growth-skills/x-account-setup)<a href="https://agentmods.dev/skills/kangarooking/x-growth-skills/x-account-setup"><img src="https://agentmods.dev/badge/skills/kangarooking/x-growth-skills/x-account-setup/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/kangarooking/x-growth-skills/x-account-setup"><img src="https://agentmods.dev/badge/skills/kangarooking/x-growth-skills/x-account-setup.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 | $0.00152 | $0.03157 |
| Opus 5 | $0.00076 | $0.01579 |
| Sonnet 5 | $0.00030 | $0.00631 |
| Haiku 4.5 | $0.00015 | $0.00316 |
Grade A, and why
x-account-setup 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
开店模型 — 账号开业准备
R — 原文 (Reading)
"做IP账号，其实很像'开一家店'。1.装修门面——招牌挂好了吗（头像、简介）；营业执照办了吗（蓝V认证）。四要素：头像、昵称、简介、背景图，决定关不关注你。新号易判机器人，先养号3天只浏览不急于互动。蓝V不能省！开Premium别开Basic。"
— AIP出海教程·3.3开店模型/5.1.2 Step2-4; X起号避坑指南·一/二
I — 方法论骨架 (Interpretation)
把做IP账号当开一家店——发内容前必须完成三步开业准备，顺序不能乱：
第一步：装修门面（Profile四要素）。 头像首选真人半身照（建立信任最快），昵称用"关键词+身份"格式（如"小陈聊AI"），简介写一句话价值承诺（你是谁+发什么+关注有什么好处），背景图做简介的视觉延伸。装修不是美化，是转化——它是涨粉漏斗的第3步（推文曝光→展开完读→进Profile看门面→关注），门面不行则前两步的流量全漏掉。
第二步：办蓝V（Premium）。 蓝V=营业执照。不开=评论被折叠进垃圾区（别人看不到就不关注）+涨粉受限+无广告分成。开中间档Premium，不开Basic（没用），不必Premium+（新人没必要）。
第三步：养号。 新号初始权重低、易被判机器人。先浏览3天（老号1-2天），每天约1小时，不急于点赞/评论/关注，关注数不要远多于粉丝数。养完再发内容。
核心洞察：装修为转化而非美化；蓝V是基础设施而非可选增值；养号是发内容前的安全期，不是发内容后的补救。
A1 — 书中的应用 (Past Application)
案例 1: 木马人没开蓝V卡在2500粉
- 问题: 为省每月8刀蓝V月费，账号从0做到2500粉后长期停滞，怎么也涨不动
- 方法论的使用: 开店模型第二步缺失——没办"营业执照"。无蓝V导致评论被系统折叠进垃圾评论区，别人看不到也就不关注；同时无曝光加成、无法参与广告分成，形成恶性循环
- 结论: 没开蓝V是涨粉卡2500的核心原因，"这钱真不要省"
- 结果: 黑五开了蓝V，当天涨100粉，后面一周涨粉数量比之前一个月都多
案例 2: 装修四要素对标案例
- 问题: 路人刷到推文后点进Profile，什么决定他要不要关注
- 方法论的使用: 四要素到位——@canghe苍何、@lxfater铁锤人用真人头像建立真实感与信任；@bozhou_ai泊舟、@servasyy_ai黄瑟瓦简介清晰传递"我是谁、发什么、你能拿到什么"；@zstmfhyAI奶爸、@berryxia神佬用背景图做视觉延伸加深印象
- 结论: 真人头像+关键词昵称+价值承诺简介+风格统一背景图=路人3秒内理解"关注有什么好处"→关注
- 结果: 这些账号因装修到位被教程选为推荐对标案例
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 新号刚注册或老号刚解冻，不知道第一天该干什么——需要开店模型全套流程
- 纠结要不要开蓝V/Premium，觉得月费贵——需要蓝V血泪教训和档位选择
- 账号Profile需要装修或重装（头像/昵称/简介/背景图）——需要装修四要素清单
- 新号不知道怎么养号、怕被判机器人——需要养号具体操作和红线
- 已有账号但Profile一直没管，想系统补上门面——需要装修四要素自查
语言信号 (用户的话里出现这些就应激活)
- "新号第一天该干什么" / "新注册的号怎么开始"
- "要不要开蓝V" / "蓝V值不值" / "should I get Premium" / "Twitter Blue worth it"
- "怎么装修主页" / "头像用什么好" / "昵称怎么取" / "简介怎么写" / "how to set up X profile"
- "新号怎么养号" / "养号几天" / "warm up new account"
- "背景图怎么设计" / "profile banner"
- "刚注册的号能直接发推吗"
与相邻 skill 的区分
- 与
x-cold-start-playbook的区别: 本skill是"开业准备"——发内容前的装修+蓝V+养号；cold-start是"开业后获客"——已有内容但没流量时的六策略+漏斗诊断。用户说"新号第一天"→本skill；用户说"发了推文没流量"→cold-start。 - 与
x-account-pitfalls的区别: 本skill是"预防"——开业前准备清单；pitfalls是"治疗"——已出问题（限流/封号/标签）后的排查与申诉。用户说"要不要开蓝V"→本skill；用户说"被限流了怎么办"→pitfalls。 - 与
x-benchmark-research的区别: 本skill装修自己的"店面"；benchmark是去看别人的"店"怎么开的（找对标）。二者可配合：先找对标定方向，再按本skill装修。
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.
- 11d ago First seen · 158 lines · 152 tokens per session scan A 80350b4d8c49
x-account-setup is a skill published in the GitHub repository kangarooking/X-growth-skills (62 stars, last pushed 1mo ago), licensed MIT. It adds 152 tokens to every session and 3,157 once invoked, about $0.0008 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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