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 douyin-searchgit 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/douyin-search)<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/douyin-search"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/douyin-search/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/douyin-search"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/douyin-search.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 | $0.00102 | $0.02057 |
| Opus 5 | $0.00051 | $0.01028 |
| Sonnet 5 | $0.00020 | $0.00411 |
| Haiku 4.5 | $0.00010 | $0.00206 |
Grade A, and why
douyin-search 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 11d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
抖音作品查询
📝 简介
根据关键词搜索抖音热门爆款作品,支持按日期范围筛选,返回点赞、评论、分享、收藏、发布时间等互动数据,结果以结构化表格展示。
✨ 功能特性
| 功能模块 | 能力描述 | 核心价值 |
|---|---|---|
| 爆款搜索 | 关键词搜索抖音爆款作品 | 精准发现高热度内容 |
| 日期筛选 | 支持按日期范围筛选 | 定位特定时间段的热门内容 |
| 智能拓展 | 泛化词自动拓展为 10 个细分词 | 避免泛化词搜索结果偏差 |
| 可点击链接 | 作品标题以超链接格式输出 | 一键跳转查看原作品 |
| 订阅推送 | 支持关键词每日推送 | 定时获取最新爆款动态 |
🔑 鉴权
- 获取 API Key:前往 红狐hub
- 配置方式1:写入
~/.openclaw/openclaw.json→{ "env": { "REDFOX_API_KEY": "ak_xxxx..." } } - 配置方式2:终端执行
export REDFOX_API_KEY="ak_xxxx..."
⚙️ 工作流程
Step 1: 🔍 用户意图理解
⚠️ 核心规则:优先提取细分方向词,而非泛化的大类词
| 用户输入 | 处理方式 |
|---|---|
| 无赛道关键词("最近热门作品") | 关键词传空字符串 "",查询全站热门 |
| 有细分词("职场穿搭"、"减脂餐") | 直接搜索,无需拓展 |
| 有泛化词("穿搭"、"美食") | 执行拓展策略(Step 2) |
细分词判断原则:有场景/人群/风格/意图修饰 → 细分词;纯大类无修饰 → 泛化词。
提取精确关键词:从用户描述中提取细分领域词,而非泛化词。例:用户说“帮我找电影领域热门话题”且自称“小众电影、港台文化” → 搜索“小众电影、港台电影、电影乐评”,❌ 而非只搜“电影”。
过滤触发钩子词:用户输入中的「热门文章」「热门作品」「爆款」「热门内容」「查询」「搜索」等词是调用 Skill 的触发钩子,不属于搜索关键词,必须剥离。例:用户说“查询AI热门文章” → 关键词为「AI」,❌ 而非「AI热门文章」。
Step 2: 🔄 泛化词拓展策略
⚠️ 必须等待用户明确回复后再调用脚本!
| 步骤 | 操作 |
|---|---|
| 1. 生成细分词 | 生成10个适中大小的细分词(趋势词、人群词、场景词、意图词各2-3个),禁止调用脚本 |
| 2. 等待用户回复 | 用户未回复时禁止调用脚本 |
| 3. 执行 | 回复「拓展」→ 10词以英文逗号连接,仅调用一次脚本;回复「不拓展」→ 搜索原关键词 |
输出示例:
我识别到「中产」是较大的分类,推荐以下细分方向:
老钱,轻奢,品质生活,松弛感,高级感穿搭,体面,法式穿搭,律师,医生,品质家居
回复「拓展」将同时搜索这10个词,回复「不拓展」将继续搜索「中产」
Step 3: 📡 调用 API 接口
3.1 时间解析规则
| 用户输入 | 解析方式 | 示例 |
|---|---|---|
| 绝对日期 | 解析为 YYYY-MM-DD |
6月1号 → 2026-06-01 |
| 相对日期 | 基于当前日期计算 | 最近7天 → start=7天前, end=今天 |
| 日期范围 | 分别解析为 startDate/endDate | 5月30日到6月2日 |
| 模糊时间 | 不解析,保持默认空字符串 | 最近的、最新的 |
startDate/endDate默认空字符串,表示不限定时间- 单日期 → startDate = endDate;年份省略取当前年份
3.2 执行脚本
# 无时间参数
python3 ~/.qoderwork/skills/douyin-search/scripts/search_douyin.py "<关键词>"
# 有时间参数
python3 ~/.qoderwork/skills/douyin-search/scripts/search_douyin.py "<关键词>" --start-date <startDate> --end-date <endDate>
仅传入非空的时间参数。脚本返回 JSON:
What ships with it
3 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.
- 11d ago First seen · 153 lines · 102 tokens per session scan A 7e78ab0605f2
douyin-search is a skill published in the GitHub repository redfox-data/redfox-community-dsh (5 stars, last pushed today), licensed MIT. It adds 102 tokens to every session and 2,057 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 2026-08-31.
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