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 xiaohongshu-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/xiaohongshu-write)<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/xiaohongshu-write"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/xiaohongshu-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/xiaohongshu-write"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/xiaohongshu-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 | $0.00154 | $0.03287 |
| Opus 5 | $0.00077 | $0.01643 |
| Sonnet 5 | $0.00031 | $0.00657 |
| Haiku 4.5 | $0.00015 | $0.00329 |
Grade A, and why
xiaohongshu-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 9d 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
小红书笔记创作
1. 简介
专为小红书内容创作打造的一站式笔记生成工具 -- 基于全网每日持续收录的 2000+ 条爆款笔记数据，根据用户输入关键词精准检索热门爆款笔记，通过 AI 深度复盘爆款内容的结构、开头逻辑、干货密度与互动话术，提炼核心流量密码与创作要点，生成通顺、合规、可直接发布的完整笔记文案。
适用对象：小红书创作者、内容运营、品牌方内容团队、需要高效产出流量内容的个人或团队。
2. 功能特性
核心功能：
- 爆款笔记查询 -- 基于关键词搜索小红书热门笔记，最多获取 50 条数据
- 爆款规律分析 -- 从标题、内容结构、互动引导、标签策略等维度提炼流量密码
- 智能内容生成 -- 生成完整的推荐标题（3-6 个）、正文内容、推荐标签（5-10 个）
- 个人风格融合 -- 支持用户上传个人写作样本，融合其风格到生成的文案中
- 爆款公式溯源 -- 输出参考的爆款规律和核心参考笔记
特色亮点：
- 泛化词拓展策略：对大类词推荐 10 个细分方向
- 数据不足自动扩展时间范围（禁止换词）
- 严格输出格式：推荐标题 + 正文内容 + 推荐标签 + 爆款公式来源
- 输出前自检查机制：确保所有字段完整
- 搜索最新热点补充创作素材
3. 一键安装
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
{ "env": { "REDFOX_API_KEY": "ak_xxxx..." } }
方案2: 终端配置：export REDFOX_API_KEY="ak_xxxx..."
export REDFOX_API_KEY="ak_xxxx..."
依赖安装
无需额外安装，使用 Python 标准库即可运行。
4. 使用指南
基础使用
触发条件：当用户说 "帮我写一篇关于 XX 的小红书笔记"、"生成 XX 相关的文案内容" 等文案生成类需求时使用。
核心规则：仅在主 Agent 中执行，不派发给子 Agent。
完整操作流程
Step 1：查询爆款笔记
1.1 关键词处理：
- 无赛道关键词（如 "最近热门笔记有哪些"）-> 关键词传空字符串
""，查询全站热门 - 有赛道关键词 -> 提取精确搜索关键词：
- 细分词 / 垂直赛道 -> 直接搜索
- 泛化词 / 大类（如 "穿搭"、"美食"）-> 先推荐 10 个细分方向，等待用户选择后再查询
1.2 时间范围：
- 默认最近 7 天（
startDate = 今天 - 7 天） - 数据不足时自动扩展时间范围（优先扩展时间，禁止换词）：近 1 天 -> 近 3 天 -> 近 7 天 -> 近 30 天
1.3 调用脚本：
python scripts/fetch_xhs_hot_articles.py \
--keyword "<用户关键词>" \
--max-items 50 \
--page-size 50 \
--start-date "<yyyy-MM-dd>"
参数说明：
--keyword：搜索关键词，无关键词时传空字符串""--max-items：固定传 50，获取 50 条数据用于深度分析--page-size：固定传 50--start-date：开始日期，格式 yyyy-MM-dd
脚本输出（JSON 格式输出到控制台）：
items：搜索结果列表（noteId、title、desc、createTime、互动数据、评分等）latestHotArticles：推荐热门笔记relatedSearches：拓展词推荐
详细字段说明见 references/xhs_hot_article_format.md。
执行要求：
- 执行脚本后，直接基于输出数据进行分析
- 禁止将原始爆款数据展示给用户
- 禁止仅发送文件路径或 "已保存" 等简短提示
Step 2：分析爆款规律
基于脚本返回的 50 条数据 进行深度分析：
标题规律：
- 高互动标题的共同特征（数字使用、情绪词、人群标签）
- 标题长度与结构模式
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.
- 9d ago First seen · 288 lines · 154 tokens per session scan A b8f00b0468c3
xiaohongshu-write is a skill published in the GitHub repository redfox-data/redfox-community-dsh (6 stars, last pushed yesterday), licensed MIT. It adds 154 tokens to every session and 3,287 once invoked, about $0.0008 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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