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 redfox-data/redfox-community-dsh --skill wechat-account-analyzergit clone --depth 1 https://github.com/redfox-data/redfox-community-dshWrote 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/redfox-data/redfox-community-dsh/wechat-account-analyzer)<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/wechat-account-analyzer"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/wechat-account-analyzer/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/redfox-data/redfox-community-dsh/wechat-account-analyzer"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/wechat-account-analyzer.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 | $0.00056 | $0.02837 |
| Opus 5 | $0.00028 | $0.01418 |
| Sonnet 5 | $0.00011 | $0.00567 |
| Haiku 4.5 | $0.00006 | $0.00284 |
Grade A, and why
wechat-account-analyzer 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.
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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
公众号账号诊断
基于多维度数据分析，为公众号提供全面的账号健康诊断和优化建议
简介
公众号账号诊断 是一款智能分析工具，通过红狐 API 获取公众号真实运营数据，基于内容健康度、用户活跃度、核心数据表现、运营规范性四维度进行评分诊断，自动生成对标行业水平的优化建议。
- 核心价值：告别主观判断，用数据驱动公众号运营决策。一次诊断即可看清账号全貌，明确优化方向
- 适用对象：公众号号主、新媒体运营、MCN机构、品牌方、内容创作者
- 技术基础：基于红狐API实时数据 + Python评分引擎 + Agent智能建议生成
功能特性
核心能力
| 功能 | 说明 |
|---|---|
| 📊 四维度评分 | 四维度诊断评分（内容健康度/用户活跃度/核心数据/运营规范性），v4.1分类自适应（6类账号自动调整权重/阈值），爆款率（10万+）显式计分 |
| 🏆 智能评级 | S/A/B/C/D/E 六级评级（S≥80分）+ 行业对标分析 |
| 📈 数据可视化 | 近期作品数据表格，阅读/点赞/评论/在看一目了然 |
| 💡 优化建议 | 分紧急/重点/持续三级，每条建议含预期量化效果 |
| 🔍 相似账号 | 自动匹配同赛道对标账号，横向对比找差距 |
| 🔗 可跳转链接 | 账号名称、作品标题均支持一键跳转微信 |
特色亮点
- ⚡ 一句话诊断：输入公众号名称即可获取完整报告，无需复杂配置
- 🔄 多账号对比：支持同时诊断多个账号并生成对比报告
- 📋 强制格式输出：5章节固定模板，章节/顺序/格式强制锁定，不得偏离
一键安装
前置条件
- 已安装 Python 3.8+
- 已注册 红狐Hub 账号并获取 API Key
安装步骤
- 将技能文件夹放入你的 Skills 目录
- 安装 Python 依赖：
pip install requests - 配置 API Key（见下方）
配置 API Key
获取 API Key
设置环境变量
REDFOX_API_KEY 需从环境变量获取。若未设置，Agent 会主动帮你配置：
- macOS/Linux：将
export REDFOX_API_KEY=<值>追加到~/.zshrc或~/.bashrc，然后source对应文件 - Windows：使用
[Environment]::SetEnvironmentVariable("REDFOX_API_KEY", "<值>", "User")设置用户级永久环境变量（需重启终端）
配置完成后验证：echo $REDFOX_API_KEY（macOS/Linux）或 echo %REDFOX_API_KEY%（Windows）
使用指南
触发方式
当用户提到以下任意关键词时自动激活：
- "诊断公众号"、"账号分析"、"公众号体检"
- "账号评估"、"查看XX公众号数据"、"分析XX账号"
- 直接输入公众号名称 + "诊断/分析"（如"十点读书 诊断"）
首次交互时 Agent 会主动打招呼并引导用户输入账号。
常用命令速查
| 命令 | 说明 |
|---|---|
诊断"公众号名称" |
输入名称即可获取完整诊断报告 |
对比诊断"A"和"B" |
多账号横向对比 + 差异化建议 |
诊断公众号ID"xxx" |
通过公众号ID查询（非中文名） |
使用示例
示例1：标准诊断
用户：诊断"十点读书"公众号 AI：输出完整诊断报告（账号信息→综合评分→作品数据→优化建议→行业对标）
示例2：多账号对比
用户：对比诊断"十点读书"和"洞见" AI：分别输出两个诊断报告 + 横向对比总结表格 + 差异化建议
示例3：未查到账号
用户：诊断“不存在的公众号123” AI：未查询到账号【不存在的公众号123】，该账号可能尚未收录或名称有误，请核实公众号名称后重试。
What ships with it
11 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.
- assets/report_template.html 12 KB
- README.en.md 3.3 KB
- README.md 3.0 KB
- references/api_guide.md 17 KB
- references/core_workflow.md 18 KB
- references/workflow_guide.md 22 KB
- scripts/analyzer.py 25 KB runs code
- scripts/api_client.py 2.5 KB runs code
- scripts/report.py 26 KB runs code
- scripts/scoring.py 40 KB runs code
- scripts/wechat_analyzer.py 3.7 KB runs code
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.
- 7d ago First seen · 268 lines · 56 tokens per session scan A e8b5d82ff213
wechat-account-analyzer is a skill published in the GitHub repository redfox-data/redfox-community-dsh (5 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 2,837 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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