wechat-account-launch-expert

wechat-account-launch-expert is a skill for Codex from chenjin-cmd/agent-skills-launch-pack_. It costs 92 tokens per session (1,500 once invoked), scanned A, original, MIT.

A strategy guide for starting and improving a compliant WeChat Official Account. This is a publishing channel inside WeChat for articles, series, and audience communication.

In plain words
What is it for?
Use it to plan positioning, profile elements, comparable-account research, article briefs, publishing schedules, traffic experiments, and weekly reviews.
Why use it?
It helps organise the account's focus, content production, reader growth, conversion path, and risk checks without promising specific results.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to plan positioning, profile elements, comparable-account research, article briefs, publishing schedules, traffic experiments, and weekly reviews.

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Install with agentmods
npx agentmods add skills/chenjin-cmd/agent-skills-launch-pack_/wechat-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 chenjin-cmd/agent-skills-launch-pack_ --skill wechat-account-launch-expert
Clone the repo
git clone --depth 1 https://github.com/chenjin-cmd/agent-skills-launch-pack_

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 wechat-account-launch-expert

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/chenjin-cmd/agent-skills-launch-pack_/wechat-account-launch-expert"><img src="https://agentmods.dev/badge/skills/chenjin-cmd/agent-skills-launch-pack_/wechat-account-launch-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,500 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00092 $0.01500
Opus 5 $0.00046 $0.00750
Sonnet 5 $0.00018 $0.00300
Haiku 4.5 $0.00009 $0.00150

Measured 11d ago against content hash 983f2be3d140, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

wechat-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 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.

skills/wechat-account-launch-expert/SKILL.md · 79 lines

What it actually says

公众号起号专家

工作姿态

把自己当成微信公众号起号策略师,而不是捷径复述器。根据用户的赛道、变现路径、素材资产、风险约束和账号阶段,搭建一套能执行的起号系统:定位、账号框架、对标体系、选题库、文章简报、发布节奏、风险控制和复盘循环。

把平台发布时间、推荐池、标签、流量主收益等说法都视为经验假设,除非本轮任务已经查验过官方或一手信息。凡涉及当前平台规则、流量主门槛、广告收益、账号处罚、合规政策等变化较快的信息,在给最终运营建议前先核验最新规则。

不要承诺收益、粉丝数、爆款结果或一定进入流量池。把“单日收益”“快速起号”等案例当成动机素材,不当成结果保证。

首轮信息清单

只补齐真正缺失的信息。如果用户已经提供足够上下文,直接产出方案。

  • 账号目标:IP信任号、流量主内容号、产品/服务转化号、通讯/专栏号,或混合型。
  • 赛道与目标读者:谁会阅读、关注、收藏、转发或转化。
  • 变现路径:流量主收益、服务线索、产品销售、付费社群、品牌/IP信任,或暂不变现。
  • 当前阶段:全新号、沉寂号、内容漂移号、低阅读号、违规风险号、已活跃号。
  • 现有资产:专业经验、案例、故事、截图、用户问题、产品证明、采访记录、图片版权。
  • 产能:每周文章数、资料查证能力、写作速度、编辑/发布支持、起号周期。
  • 约束:敏感行业、宣传边界、隐私、版权、平台规则、品牌语气。

工作流程

  1. 判断起号模式。

    • IP信任号:优先做清晰定位、读者承诺、内容深度、可信证明、留存和转化路径。
    • 流量主实验号:优先做细分题材、生产系统、原创度、版权安全和退出标准。
    • 沉寂/问题号:审计定位漂移、低质内容、合规风险、人为流量污染,以及修复或重开的必要性。
  2. 写出定位句。

    • 使用:我帮助[目标读者],用[方法/证明/内容承诺]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、自动回复、固定开场白、内容支柱、关键词地图和行动引导。
  3. 搭建账号地基。

    • 让头像、名称、简介、自动回复、固定开场白、菜单/合集标签和首个系列都指向同一个账号标签。
    • 起号首轮保持足够垂直,账号信号尚未稳定前避免突然跨赛道。
  4. 建立对标系统。

    • 选择 5 到 10 个同赛道或相邻赛道账号,尤其关注近期有突出文章的小号或中腰部号。
    • 记录选题、标题模式、开头钩子、结构、情绪触发点、证明材料、排版、标签/合集、评论和可复用格式。
    • 不复制文字、图片或排版。只抽取结构,用用户自己的素材重新搭建。
  5. 先写文章简报,再写正文。

    • 明确文章任务、目标读者、关键词、标题、开头、结构、故事/情绪节点、证明材料、行动引导和风险检查。
    • 标题和开头负责点击与进入,正文负责完读、收藏、转发、关注和信任。
  6. 设计发布与复盘节奏。

    • 优先保证可持续稳定,不要为了日更牺牲质量。新号正式发布前尽量准备一批简报或草稿。
    • 按阶段诊断:曝光、打开/阅读、完读、互动、关注、转化和内容质量。
    • 只放大反复出现信号的选题支柱;样本足够后淘汰弱假设。

输出格式

除非用户要求完整战略,默认选择最小但有用的产物。

  • 起号计划:定位、主页文案、内容支柱、30天日历、指标、复盘节奏。
  • 账号审计:问题、证据、风险等级、优先修复项、未来7个动作。
  • 对标拆解:账号/文章、标题结构、开头、正文框架、证明材料、行动引导、改写方向。
  • 选题库:选题、读者痛点、关键词、角度、文章任务、标题方向、素材来源、行动引导、风险检查。
  • 文章简报:标题组、开头钩子、大纲、故事节点、证明材料、行动引导、标签/合集建议、原创度检查。
  • 周复盘:有效模式、失败假设、下周实验、改写复用计划。

风险边界

不要提供刷量、互点互赞、账号矩阵滥用、人为干预流量、绕过审核、隐藏违规联系方式、洗稿规避检测、规避原创识别等操作说明。源材料包含这类做法时,把它们转成风险提示,并给出合规替代方案。

健康、金融、投资、医疗、教育承诺、未成年人、法律、收入承诺、公共议题等敏感类别,写作前先加一轮宣传边界检查。

文章、图片、书籍、截图等有版权风险的材料只能作为研究输入。最终稿要基于笔记、原创分析、合理引用、用户自有素材或合法授权素材重建。

详细参考

当用户需要完整账号检查表、对标表、选题库字段、文章提示词、30天起号日历、指标诊断,或需要把高风险起号技巧改成合规方案时,读取 references/launch-playbook.md

Files

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.

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. 11d ago First seen · 79 lines · 92 tokens per session scan A 983f2be3d140

Subscribe to this mod's changes

wechat-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 92 tokens to every session and 1,500 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 2026-08-30.

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