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-titlegit 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-title)<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/wechat-title"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/wechat-title/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-title"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/wechat-title.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 | $0.00074 | $0.02970 |
| Opus 5 | $0.00037 | $0.01485 |
| Sonnet 5 | $0.00015 | $0.00594 |
| Haiku 4.5 | $0.00007 | $0.00297 |
Grade A, and why
wechat-title 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
公众号标题生成与评分
📋 概述
两大核心功能：
- 标题生成：基于热门数据生成具有传播力的公众号标题，提供参考爆款文章和分析
- 标题评分：对用户输入的标题进行多维度评测打分，提供优化建议
功能判断：
| 用户输入 | 使用功能 |
|---|---|
| 主题/关键词/赛道/分类 | 标题生成 |
| 标题 + 评分/优化意图 | 标题评分 |
数据说明：
- 阅读数据截止入库时间，非实时数据，入库后可能持续增长
- 数据库仅包含昨天至30天前的数据
- 默认查询最近7天（startDate = 今天 - 6天）
启动欢迎语（技能打开时必须自动输出）：
👋 欢迎使用公众号标题生成与评分！
1️⃣ 标题生成 — 输入主题、关键词、赛道、分类，基于热门数据生成公众号爆款标题
2️⃣ 标题评分 — 输入一个标题，测评打分并提供优化建议
🔐 鉴权
获取 API Key
请前往 红狐hub 获取API KEY
配置 API Key
方案1: 写入 ~/.openclaw/openclaw.json：
{ "env": { "REDFOX_API_KEY": "ak_xxxx..." } }
方案2: 终端配置：
export REDFOX_API_KEY="ak_xxxx..."
⚠️ 核心规则
数据来源
- 唯一数据来源：通过
scripts/fetch_official_account_trends.py脚本调用 API 接口 - 禁止：联网搜索、使用其他数据源
- API 接口：
https://redfox.hk/story/api/cozeSkill/getWxCozeSkillData
用词规范
- ❌ 禁止"爬取"、"抓取" → ✅ 统一用"获取"
执行顺序
- 标题生成：必须先分析爆款标题，再生成新标题，不可颠倒
- 泛化词：输出细分词推荐后，必须等待用户回复「拓展」或「不拓展」再调用脚本
关键词分类处理
| 关键词类型 | 示例 | 处理方式 |
|---|---|---|
| 细分词/垂直赛道 | 职场穿搭、减脂餐、小个子穿搭 | 直接查询 |
| 具体内容词 | 防晒霜、情感故事、职场干货 | 直接查询 |
| 泛化词/大分类 | 穿搭、美食、情感 | 执行泛化词拓展策略 |
数据不足处理
不足5条时，按顺序自动扩展时间：近1天 → 近3天 → 近7天 → 近30天
每次扩展提示："该关键词近X天数据不足5条，已自动扩展时间范围至近Y天"
- ❌ 禁止因数据不足更换关键词、推荐其他词或触发泛化词拓展
- 最终兜底：扩展到30天仍不足5条，如实展示并提示数据不足
- 数据为0时：扩展到30天后仍为0，执行泛化词拓展策略
📊 交互流程
用户输入的任何内容都理解为要生成公众号爆款标题或进行标题评分。
第一步：理解用户输入并提取关键词
精准原则：用户输入什么就查询什么，不随意扩展到相关但不同的内容。
- 从用户输入中提取核心主题和关键词
- 按关键词类型处理（见核心规则→关键词分类处理）
示例：
- 用户输入："我想写关于护肤的内容" → 关键词：护肤 → 标题生成
- 用户输入："帮我评分这个标题：XXX" → 关键词：从标题提取 → 标题评分
第二步：泛化词拓展策略（仅泛化词执行，细分词跳过直接查询）
- 生成细分词：查询近7天相关公众号热点，生成10个细分词（趋势词、人群词、场景词、意图词各2-3个）
- 等待用户回复：禁止用户未回复时调用脚本
- 根据回复执行：
- 回复「拓展」→ 搜索10个细分词
- 回复「不拓展」→ 搜索原关键词
输出示例：
我识别到「情感」是较大的分类，已查询近期热门趋势，推荐以下细分方向：
恋爱技巧、婚姻经营、婆媳关系、原生家庭、职场人际、社交恐惧、高情商沟通、情绪管理、心理疗愈、分手挽回
回复「拓展」将同时搜索这10个词，回复「不拓展」将继续搜索「情感」
第三步：时间范围与数据查询
时间范围：
- 数据范围：昨天至30天前
- 默认：最近7天（startDate = 今天 - 6天）
- 近N天：startDate = 今天 - (N-1)天
What ships with it
4 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.
- 7d ago First seen · 273 lines · 74 tokens per session scan A 35901b19f3d9
wechat-title is a skill published in the GitHub repository redfox-data/redfox-community-dsh (5 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 2,970 once invoked, about $0.0004 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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