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-writegit 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-write)<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/wechat-write"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/wechat-write/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-write"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/wechat-write.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 | $0.00093 | $0.02822 |
| Opus 5 | $0.00046 | $0.01411 |
| Sonnet 5 | $0.00019 | $0.00564 |
| Haiku 4.5 | $0.00009 | $0.00282 |
Grade A, and why
wechat-write 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 — 251 lines — stays where its author put it; the contents beside it link to each section on GitHub.
公众号文案创作
📋 概述
基于红狐数据公众号爆款雷达，按关键词检索当下热门爆款文章，提炼流量密码与创作要点，生成可直接发布的完整文章。
数据范围：全网公众号，每日持续收录爆款文章 | 核心流程：查询爆款 → 分析规律 → 生成文案
🔑 鉴权
获取 API Key
请前往 红狐hub 获取API KEY
配置 API Key
方案1: 以OpenClaw为例，将REDFOX_API_KEY添加到~/.openclaw/openclaw.json中，部分内容如下：
{ "env": { "REDFOX_API_KEY": "ak_xxxx..." } }
方案2: 终端配置
export REDFOX_API_KEY="ak_xxxx..."
🔄 工作流程
Step 0: 意图识别与关键词提炼
先理解用户真实需求，再提炼搜索关键词：
一、理解用户意图
- 核心诉求：想写什么类型的内容，是否有明确主题和论点
- 目标受众：写给谁看
- 创作目的：分享经验、教别人、还是观点输出
二、判断写作对象类型
| 类型 | 判断依据 | 关键词策略 |
|---|---|---|
| 具体实体 | 用户描述中包含明确可指认的对象名称（产品、工具、书籍等） | 意图关键词 + 主体关键词 |
| 通用话题 | 泛领域话题（职场、情感、健康、理财等） | 核心关键词 + 场景关键词 + 扩展关键词 |
三、提炼关键词
通用话题：核心关键词 + 场景关键词 + 扩展关键词
具体实体（必须额外提取主体关键词）：
| 维度 | 说明 | 示例（gzh-copywriter） |
|---|---|---|
| 品类词 | 属于什么品类 | AI技能、效率工具 |
| 定位词 | 核心卖点关键词 | 爆款生成、数据驱动 |
| 用户叫法 | 目标用户搜索时用的词 | 公众号神器、自媒体神器 |
规则：主体关键词不得少于 2 个，优先级不低于意图关键词。最终搜索词 = 意图关键词 + 主体关键词（合并去重）。必须提炼至少 2 个不同关键词。
四、示例
通用话题：用户说"帮我写一篇关于职场跳槽的文章" → 搜索词：职场、跳槽、辞职、加薪、职场发展
具体实体：用户说"帮我写一篇推荐gzh-copywriter的公众号文章" → 搜索词：公众号、爆款文章、AI技能、效率工具、爆款生成、数据驱动、公众号神器
Step 0.5: 差异化优势拆解【仅推荐具体实体时执行】
纯话题类写作跳过本步骤。
一、信息收集（按优先级尝试，够用即停）
| 优先级 | 来源 | 操作方式 |
|---|---|---|
| 第一 | 用户描述中已包含的信息 | 提取功能、特点、优势 |
| 第二 | 可读取的结构化文档 | 读取产品文档、技能说明等 |
| 第三 | 联网搜索 | 搜索官方介绍、用户评价、竞品对比 |
二、拆解模型（四维度）
| 维度 | 拆解问题 |
|---|---|
| 输入差异 | 它依赖什么独特的输入源？ |
| 流程差异 | 它的工作方式跟同类有什么不同？ |
| 输出差异 | 它产出的结果跟同类有什么不同？ |
| 定位差异 | 它锁定什么人群/场景，竞品没覆盖？ |
三、输出格式
输出 3-5 条核心差异化优势，每条包含：
优势描述：[一句话]
与竞品对比差异：[说明不同之处]
四、下游引用
这 3-5 条差异化优势必须在后续步骤中强制引用：
- Step 2：将差异化优势与爆款规律对照，找到契合点
- Step 4：文章必须围绕差异化优势展开，作为"锚点"
Step 1: 查询爆款文章
python3 scripts/fetch_gzh_trends.py \
--keyword "<提炼出的关键词>" \
--max-items 10
参数说明：
--keyword：搜索关键词（多个用英文逗号分隔，最多 5 个，总长度 ≤ 200 字符）；若执行了 Step 0.5，需包含主体关键词--max-items：展示文章数量，默认 10 条--start-date：可选，开始日期，格式 yyyy-MM-dd（最长为最近 30 天）。不指定时默认近 7 天，数据不足自动拓展至近 30 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 · 251 lines · 93 tokens per session scan A 50232b998a21
wechat-write is a skill published in the GitHub repository redfox-data/redfox-community-dsh (5 stars, last pushed yesterday), licensed MIT. It adds 93 tokens to every session and 2,822 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 2026-09-03.
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