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 waterfeet/DoroPet_V3 --skill daily-trendinggit clone --depth 1 https://github.com/waterfeet/DoroPet_V3Wrote 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/waterfeet/doropet_v3/daily-trending)<a href="https://agentmods.dev/skills/waterfeet/doropet_v3/daily-trending"><img src="https://agentmods.dev/badge/skills/waterfeet/doropet_v3/daily-trending/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/waterfeet/doropet_v3/daily-trending"><img src="https://agentmods.dev/badge/skills/waterfeet/doropet_v3/daily-trending.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 | $0.00046 | $0.00868 |
| Opus 5 | $0.00023 | $0.00434 |
| Sonnet 5 | $0.00009 | $0.00174 |
| Haiku 4.5 | $0.00005 | $0.00087 |
Grade A, and why
daily-trending 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 13d 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.
What it actually says
Daily Trending
获取今日热榜，从tophub.today抓取各平台热搜数据。
数据获取
多平台热榜（必抓）
从tophub.today获取以下平台的热榜：
- 知乎热榜：
/n/mproPpoq6O - 微博热搜榜：
/n/KqndgxeLl9 - 百度实时热点：
/n/Jb0vmloB1G - 36氪24小时热榜：
/n/Q1Vd5Ko85R - 虎嗅网热文：
/n/5VaobgvAj1 - 澎湃热榜：
/n/wWmoO5Rd4E - 吾爱破解今日热帖：
/n/NKGoRAzel6 - 虎扑社区步行街热帖：
/n/G47o8weMmN
获取方式
# 微博热搜
web_fetch("https://tophub.today/n/KqndgxeLl9", maxChars=3000)
# 知乎热榜
web_fetch("https://tophub.today/n/mproPpoq6O", maxChars=3000)
# 百度热点
web_fetch("https://tophub.today/n/Jb0vmloB1G", maxChars=3000)
# 36氪
web_fetch("https://tophub.today/n/Q1Vd5Ko85R", maxChars=3000)
# 虎嗅
web_fetch("https://tophub.today/n/5VaobgvAj1", maxChars=3000)
筛选标准（关键）
从所有平台的热榜中，筛选出真正重要的、真正处于讨论焦点的热点：
- 重要事件：重大政策、国际关系、社会事件
- 热议话题：引发广泛讨论和争议的话题
- 真正焦点：不是明星八卦、广告推广
- 只讲事实：排除带主观色彩的评论标题，如"天塌了"、"最惨"、"荒谬"等
- 事实性内容：保留事件本身，不加评论渲染
排除类型：
- 带主观色彩的评论标题
- 单纯的娱乐八卦
- 明显的广告推广
- 情绪化表达
保留类型：
- 事实性事件
- 政策动态
- 社会热议话题
- 真正有讨论价值的焦点
输出要求：
- 每条新闻要完整、有头有尾
- 像新闻标题一样描述事件
- 不要单独一个词或没头没尾的内容
输出格式
只输出最有价值的5条：
---
🔥 今日热榜（2月19日）
1. 高市早苗确认当选日本新任首相，将着手组建新内阁
2. 2026年春节档电影总票房突破20亿元
3. 苏翊鸣夺得米兰冬奥会单板滑雪男子坡面障碍技巧金牌
4. 韩国短道速滑女子3000米接力夺得金牌
5. 沙特投资483亿美元收购字节跳动部分业务
---
注意：
- 每条新闻完整、有头有尾
- 不需要来源标注
- 只讲事实，排除主观评论
- 分割线“---”用“======”代替
- 只输出要求输出的内容，前后不要输出多余的文本、说明、报错
What ships with it
1 file 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.
- 13d ago First seen · 93 lines · 46 tokens per session scan A 35b3ffee861b
daily-trending is a skill published in the GitHub repository waterfeet/DoroPet_V3 (30 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 868 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
minecraft-debug-mcp
Operate and debug the live Minecraft bot through its built-in MCP REPL server. Use when work requires starting the bot with pnpm dev, connecting to the local MCP endpoint, inspecting cognitive state/logs/history, injecting synthetic chat/events, or running targeted REPL code against the running brain during…
naga_control
A control interface for changing Naga’s own running state and settings through a specific agent type.
sakura
An open-source framework for building a desktop pet agent, meaning a small software companion that lives on a computer desktop. The description identifies it as Sakura and links to its GitHub project.
live2d
A control interface for a Live2D desktop pet, using an HTTP API. Live2D is a technology for animated 2D characters that move on screen.
tts
A text-to-speech tool instruction that requires using a session runner and forbids running a particular script directly. Text-to-speech converts written text into spoken audio.
character_importer
An importer for SillyTavern character cards. SillyTavern is an interface for chatting with AI characters, and a character card stores one character's setup.