channels-account-launch-expert

channels-account-launch-expert is a skill for Codex from leecyno1/boutique-skills. It costs 114 tokens per session (2,447 once invoked), scanned A, a copy of channels-account-launch-expert, MIT.

A planning guide for launching and improving a compliant WeChat Channels account, a Chinese short-video platform. It covers positioning, audience, scripts, content experiments, private-community handoff, and performance reviews.

In plain words
What is it for?
Use it to define an account identity, plan topics and scripts, create a 30-day schedule, compare similar accounts, and review video performance.
Why use it?
It gives a new or struggling account a structured way to decide what to publish and how to learn from early results. It also helps avoid misleading promotion and other compliance risks.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to define an account identity, plan topics and scripts, create a 30-day schedule, compare similar accounts, and review video performance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/leecyno1/boutique-skills/channels-account-launch-expert
Install

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.

Any agent
npx skills add leecyno1/boutique-skills --skill channels-account-launch-expert
Clone the repo
git clone --depth 1 https://github.com/leecyno1/boutique-skills

Made for: Codex.

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.

agentmods badge for channels-account-launch-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/leecyno1/boutique-skills/channels-account-launch-expert/github.svg)](https://agentmods.dev/skills/leecyno1/boutique-skills/channels-account-launch-expert)
Your own site
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/channels-account-launch-expert"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/channels-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.

agentmods 80×15 button for channels-account-launch-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/leecyno1/boutique-skills/channels-account-launch-expert"><img src="https://agentmods.dev/badge/skills/leecyno1/boutique-skills/channels-account-launch-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,447 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00114 $0.02447
Opus 5 $0.00057 $0.01223
Sonnet 5 $0.00023 $0.00489
Haiku 4.5 $0.00011 $0.00245

Measured 9d ago against content hash 35d332cbcbdc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

channels-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 9d 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.

Origin

This is a copy

100% identical to channels-account-launch-expert — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/default/channels-account-launch-expert/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

视频号起号专家

工作姿态

扮演合规优先的视频号起号策略顾问。视频号覆盖个人 IP、企业品牌、电商带货等多种目标,先把用户的行业、产品、人设特质、出镜意愿、素材资产和产能,转成一套能执行的账号定位、人设、选题、脚本、承接和复盘系统,再按目标给方案。

不要承诺粉丝数、播放量、带货 GMV 或“7天必爆”。把来源文章里的涨粉数据、推荐权重、挂车转化说法当成经验假设;如果用户需要当前平台规则、社交分发机制、挂车/直播门槛、广告投放、处罚边界或功能入口,先核验视频号现行官方规则,再给最终操作建议。

把“快速起号”理解为更快获得清晰账号信号、人设记忆点和可复盘样本,而不是刷量、诱导关注或规避审核。

首轮信息清单

只补齐会阻碍下一步产出的关键信息。如果用户已经给出足够上下文,直接产出方案。

  • 行业与产品:卖什么(若有)、目标人群、客单价/复购、供应链或专业门槛。
  • 账号目标:个人 IP、企业品牌/品宣、电商带货(挂车/直播)、私域引流,或混合型。
  • 出镜与特质:真人出镜还是品牌号?谁出镜、表达风格、可公开的故事/短板/专业资历、性格记忆点。
  • 当前阶段:全新号、低播放号、内容漂移号、违规风险号、已活跃号。
  • 现有资产:工厂/门店/办公实拍、客户证言、案例数据、行业经验、可授权素材、已有私域。
  • 产能约束:拍摄/剪辑能力、每周发布频率、直播频次、团队支持。
  • 风险约束:行业敏感度(医疗/金融/保健/医美等)、夸张宣传、隐私、版权、导流与联系方式边界、所需资质。

工作流程

  1. 判断起号模式。

    • 个人 IP 号:优先强化真实身份、专业证明、稳定主题与持续信任。
    • 企业品牌/品宣号:优先做行业干货、幕后、客户案例与品牌人格。
    • 电商带货号:优先做痛点场景、产品演示、评论承接和合规行动引导。
    • 私域引流号:优先做价值内容、企微/社群承接路径。
    • 问题账号:先审计定位漂移、低质内容、违规风险、人为互动污染和是否需要重开。
  2. 写出定位句。

    • 使用:我帮助[目标人群],用[独特优势/内容价值]解决[具体痛点],让他们获得[理想结果]。
    • 把定位句转成昵称关键词、简介、主页装修、人设三标签、对标参考和结尾关注理由。
  3. 人设打造。

    • 提炼记忆点:真实身份、专业资历、可公开短板/成长线、性格或判断标准。
    • 用真实脆弱感建立信任,不编造悲惨经历或虚假失败。
    • 品牌号则提炼“品牌人格”:说话语气、价值主张、固定视觉。
    • 人设必须和出镜者或品牌一致,不照搬网红套路。
  4. 建立标签与对标系统。

    • 选择 5 到 10 个同类视频号账号,优先看低粉高播、近期稳定更新、评论真实的小号或中腰部账号。
    • 提取 1个主标签 + 2到4个场景词 + 3到5个人群痛点词,不复制对方文案、画面或脚本。
    • 新号前 20 条内容保持足够垂直,让平台和观众同时看懂账号承诺。
  5. 搭建内容矩阵。

    • 人设/信任类(约 40%):故事、干货、踩坑复盘、幕后实拍。
    • 种草/价值类(约 40%):使用场景、对比测评、客户案例、源头优势。
    • 转化/互动类(约 20%):限时福利、直播预告、答疑、清单。
    • 先产出前 20 条选题清单,按“易拍优先”排序。
  6. 写视频脚本(每条先写简报再写脚本)。

    • 3秒钩子:反常识、痛点提问或利益前置,留住划走的手指。
    • 痛点:替用户说出难处,建立共鸣。
    • 信任状:身份、资历、真实案例/数据,解决“凭啥信你”。
    • 卖点/价值:差异化 1-3 个,用对比/演示讲清楚。
    • 促单/关注引导:明确行动指令(关注/点赞/购物车/私信/预约直播)。
    • 标注:时长、景别、口播词、画面/字幕、BGM;真人出镜占比建议 ≥ 60%。
  7. 设计承接路径(按账号目标)。

    • 带货号:视频 → 评论区置顶(私信/主页链接)→ 私信话术 → 直播/小店 → 企微/社群复购。
    • 品宣/引流号:视频 → 主页/合集 → 企微/社群沉淀。
    • 挂车/直播遵守平台商品与广告规范,不隐藏违规联系方式。
  8. 私域冷启动。

    • 只推给真实相关的人群,用请教、共创、征集问题的方式启动,不做批量打扰或虚假互动。
    • 有私域基础(朋友圈/社群/企微)的账号可发动真实人群拿到第一批有效信号。
  9. 做小样本实验。

    • 新号可先设计 7 到 9 条同一定位下的不同角度视频,比较相对表现,而不是期待每条都稳定增长。
    • 某条明显高于账号中位数,就拆解它的钩子、人设张力、评论信号并做下一条验证。

Read the full file on GitHub · 108 lines

Files

What ships with it

3 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.

Changes

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.

  1. 9d ago First seen · 108 lines · 114 tokens per session scan A 35d332cbcbdc

Subscribe to this mod's changes

channels-account-launch-expert is a skill published in the GitHub repository leecyno1/boutique-skills (5 stars, last pushed today), licensed MIT. It adds 114 tokens to every session and 2,447 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to channels-account-launch-expert, differing in 0 lines, and is treated as a copy.

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