wechat-fastest-growing

wechat-fastest-growing is a skill for Claude Code, Codex from redfox-data/redfox-community-dsh. It costs 60 tokens per session (3,556 once invoked), scanned A, original, MIT.

A research tool that ranks WeChat public accounts by recent reading-growth rate. It shows each account's highest-reading article and can compare successful and weaker posts from the same account.

In plain words
What is it for?
Use it to find fast-growing accounts, inspect their representative articles, compare strong and weak posts, and identify common patterns across content categories.
Why use it?
It helps content teams find accounts that are gaining attention without manually checking many profiles. The comparisons make it easier to study topics, titles, and publishing approaches.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to find fast-growing accounts, inspect their representative articles, compare strong and weak posts, and identify common patterns across content categories.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/redfox-data/redfox-community-dsh/wechat-fastest-growing
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 redfox-data/redfox-community-dsh --skill wechat-fastest-growing
Clone the repo
git clone --depth 1 https://github.com/redfox-data/redfox-community-dsh

Made for: Claude Code, 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-fastest-growing

README.md
[![agentmods](https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/wechat-fastest-growing/github.svg)](https://agentmods.dev/skills/redfox-data/redfox-community-dsh/wechat-fastest-growing)
Your own site
<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/wechat-fastest-growing"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/wechat-fastest-growing/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-fastest-growing

Your own site · 80×15
<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/wechat-fastest-growing"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/wechat-fastest-growing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,556 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 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 $0.00060 $0.03556
Opus 5 $0.00030 $0.01778
Sonnet 5 $0.00012 $0.00711
Haiku 4.5 $0.00006 $0.00356

Measured 7d ago against content hash 14953e93b076, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

wechat-fastest-growing 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/fetch_growth_rank.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-fastest-growing/SKILL.md · 336 lines

How it starts

The opening of the file, as written. The whole thing — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.

公众号黑马账号推荐

简介

公众号黑马账号推荐是一款面向内容运营与新媒体研究的阅读增长率排行查询工具,通过脚本拉取官方榜单数据,帮助用户快速发现近期阅读量增速快的公众号与代表作。

通过本 Skill,你可以:

  • 📊 同作者爆文 vs 最低阅读文对比:针对同一个账号,对比其“爆文”和“最低阅读文”在选题、标题、切入点上的差异。直接告诉你可以复制的具体打法。
  • 📈 高增长账号类型分析:分析近期高增长账号的赛道分布和共同策略,判断当下真实流量风向,并给出哪些能迁移到其他平台的建议。

适用于公众号运营找高增长对标、编辑选题复盘、研究者观察赛道热度等角色。

功能特性

🎯 核心功能

  • 📊 增长率榜单:按日期查询公众号阅读增长率排行数据(脚本输出 Markdown 表格)
  • 🔗 可点击标题:表格中标题已为原文链接,便于跳转核对
  • 📌 指标说明:榜单含「综合评分指数」等字段;公式与加权定义见 references/core_workflow.md
  • 📈 增长分析:基于同一份脚本输出完成三点输出(爆文表、作品类型表、300–500 字总结),字段与条数上限以核心流程为准

✨ 特色亮点

  • ⏰ 日期语义:支持口语化「最新/昨天」与指定日;rankDate 支持 "yesterday""today""YYYY-MM-DD"(映射与默认规则见核心流程)
  • 🔒 数据真实性:强制走 scripts/fetch_growth_rank.py脚本 stdout 须原样展示,不得改写或重排表格
  • 📅 查询窗口:仅支持最近 30 天内rankDate;查最新时若昨日无数据会自动向前追溯(逐天查询,找到即停,见核心流程)

一键安装

前置条件

  • Python 3.8 及以上版本
  • requests 库:pip install requests
  • 红狐Hub API Key,格式 ak_xxxxxxxx

安装方式

SkillHub
  1. 前往 SkillHub
  2. 搜索 wechat-fastest-growing公众号黑马账号推荐
  3. 按平台指引完成安装(支持对话安装或本地 Zip 导入)
ClawHub
  1. 前往 ClawHub
  2. 搜索 wechat-fastest-growing公众号黑马账号推荐
  3. 可使用 CLI:openclaw skills install wechat-fastest-growingclawhub install wechat-fastest-growing,或下载 skill 包本地导入
方式二:命令行独立使用

无需安装技能包,配置好 API Key 后可直接运行脚本:

pip install requests
python scripts/fetch_growth_rank.py --rankDate yesterday

安装完成后,访问 红狐 Hub网站 登录 注册并获取 API Key(新用户获赠免费积分),配置环境变量 REDFOX_API_KEY(见下方),重启终端即可在对话中发起查询。

环境变量配置

变量名 必填 说明
REDFOX_API_KEY 红狐 Hub API 访问密钥,格式 ak_xxxxxxxx
COZE_REDFOX_API_7633629455969337344 兼容旧变量名(脚本自动回退读取)

macOS / Linux

echo 'export REDFOX_API_KEY=<你的apikey>' >> ~/.zshrc
source ~/.zshrc

Windows(PowerShell):

[Environment]::SetEnvironmentVariable("REDFOX_API_KEY", "<你的apikey>", "User")

Read the full file on GitHub · 336 lines

Files

What ships with it

5 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. 7d ago First seen · 336 lines · 60 tokens per session scan A 14953e93b076

Subscribe to this mod's changes

wechat-fastest-growing is a skill published in the GitHub repository redfox-data/redfox-community-dsh (5 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 3,556 once invoked, about $0.0003 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 2026-09-03.

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