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 trending-hub-top10git 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/trending-hub-top10)<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/trending-hub-top10"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/trending-hub-top10/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/trending-hub-top10"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/trending-hub-top10.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 | $0.00064 | $0.04366 |
| Opus 5 | $0.00032 | $0.02183 |
| Sonnet 5 | $0.00013 | $0.00873 |
| Haiku 4.5 | $0.00006 | $0.00437 |
Grade A, and why
trending-hub-top10 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 8d 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 — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
全网聚合热点榜
1. 简介
一句话定位:全网聚合热点TOP10榜,基于每小时收录的7大平台热点数据,通过智能事件识别和跨平台归并,输出综合热度最高的TOP10热点事件。
核心价值:解决内容创作者、市场运营者在热点追踪中的三大痛点:
- 热点分散难整合:无需逐个平台查看,一次聚合7大平台热榜
- 跨平台对比困难:自动识别同一事件在不同平台的讨论差异和热度表现
- 趋势判断模糊:基于热度值、上榜时长、平台覆盖等维度智能预测热点走势
适用对象:内容创作者、市场运营人员、媒体编辑、品牌策划、数据分析师。
不支持:该技能不支持查询特定热词详情,仅提供全网热点榜聚合查询。
2. 功能特性
核心功能
| 功能模块 | 能力描述 | 核心价值 |
|---|---|---|
| 🔍 全网热榜聚合 | 实时抓取7大平台热搜数据 | 一键获取全网热点,告别逐平台查看 |
| 🔗 跨平台事件识别 | 智能识别同一事件在不同平台的表述 | 自动归并相似话题,避免重复统计 |
| 📊 热度趋势预测 | 基于热度值、时长、平台覆盖预测走势 | 提前判断热点生命周期,把握创作窗口 |
| 📈 TOP10榜单提供 | 按综合热度排序输出TOP10热点 | 快速定位高价值选题 |
| 💬 跨平台讨论分析 | 展示不同平台的讨论焦点和差异 | 深度洞察舆论生态,精准定位受众 |
| 📄 HTML报告导出 | 生成美观的可视化报告 | 支持图片导出,便于分享存档 |
| ⏰ 订阅推送服务 | 定时推送最新热榜/昨日热榜 | 持续追踪热点动态,不错过关键机会 |
特色亮点
- 智能事件识别:从所有标题中独立识别和归纳具体热点事件,不直接使用原标题
- 可视化HTML报告:自动生成精美HTML报告,支持PDF/图片导出
- 跨平台讨论对比:展示同一事件在不同平台的讨论焦点和差异
- 热度趋势预测:综合分析热度值、上榜时长、排名变化,输出趋势预测
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,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..."
依赖安装
pip install python-dateutil==2.8.2
mkdir -p output
环境变量配置
| 变量名 | 说明 | 必填 |
|---|---|---|
REDFOX_API_KEY |
红狐 API Key | 是 |
4. 使用指南
基础使用
查询最新热榜(默认)
python scripts/fetch_hotspot.py --output json
自动计算当前时间的前一个小时作为查询范围。例如:当前时间为 2026-04-16 08:30:00,则查询 2026-04-16 07:00:00 到 2026-04-16 08:00:00 的数据。
查询历史热榜
# 查询昨日热榜(假设今天是2026-04-16)
python scripts/fetch_hotspot.py --start-date "2026-04-15 00:00:00" --end-date "2026-04-16 00:00:00"
日期范围规则:
- 时间格式为
YYYY-MM-DD HH:MM:SS,也可简写为YYYY-MM-DD(自动补全为 00:00:00) - 日期范围是
[start_date, end_date)左闭右开区间 - 最长查询范围:7天
高级使用
标准执行流程
重要原则:智能体完成数据分析并保存JSON后,直接生成HTML报告,不在对话中输出详细榜单。
- 获取热点数据:调用脚本获取原始JSON数据
- 智能体分析并保存JSON:执行热点事件识别,按热度值降序排列取TOP10,保存为
structured_report.json - 自动生成HTML报告:
python scripts/generate_html_report.py --input structured_report.json --output 热点榜报告.html - 对话中输出简要信息:标题 > 统计时间 > HTML报告 > 订阅推送服务询问
What ships with it
9 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/api-data.json 61 KB
- assets/report-template.html 17 KB
- README.en.md 7.1 KB
- README.md 6.0 KB
- references/instruction-list.md 5.0 KB
- references/output-templates.md 9.2 KB
- references/prediction-logic.md 4.3 KB
- scripts/fetch_hotspot.py 7.3 KB runs code
- scripts/generate_html_report.py 11 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.
- 8d ago First seen · 365 lines · 64 tokens per session scan A 4ec310a22b6e
trending-hub-top10 is a skill published in the GitHub repository redfox-data/redfox-community-dsh (6 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 4,366 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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