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 iamzhihuix/happy-claude-skills --skill trends-bulletingit clone --depth 1 https://github.com/iamzhihuix/happy-claude-skillsWrote 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/iamzhihuix/happy-claude-skills/trends-bulletin)<a href="https://agentmods.dev/skills/iamzhihuix/happy-claude-skills/trends-bulletin"><img src="https://agentmods.dev/badge/skills/iamzhihuix/happy-claude-skills/trends-bulletin/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/iamzhihuix/happy-claude-skills/trends-bulletin"><img src="https://agentmods.dev/badge/skills/iamzhihuix/happy-claude-skills/trends-bulletin.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 | $0.00070 | $0.00900 |
| Opus 5 | $0.00035 | $0.00450 |
| Sonnet 5 | $0.00014 | $0.00180 |
| Haiku 4.5 | $0.00007 | $0.00090 |
Grade A, and why
trends-bulletin 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 12d 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
多平台热词速报
一键采集 6 个平台热门趋势，格式化后推送到 Telegram。
依赖
使用 Bun 运行时内置 fetch，无需安装额外依赖。
环境变量
必须配置以下环境变量（或在 .env 文件中设置）：
| 变量 | 必须 | 说明 |
|---|---|---|
TELEGRAM_BOT_TOKEN |
是 | Telegram Bot Token |
TELEGRAM_CHAT_ID |
是 | Telegram 目标 Chat ID |
GROK_API_KEY |
否 | xAI Grok API Key（为空则跳过 AI 趋势分析） |
PRODUCT_HUNT_TOKEN |
否 | Product Hunt API Token（为空则跳过 PH） |
YOUTUBE_API_KEY |
否 | YouTube Data API Key（为空则跳过 YouTube） |
执行
Agent Execution Instructions:
- Determine this SKILL.md file's directory path as
{baseDir} - Script path =
{baseDir}/scripts/main.ts - Replace all
{baseDir}in this document with the actual path - Resolve
${BUN_X}runtime: ifbuninstalled →bun; ifnpxavailable →npx -y bun; else suggest installing bun
${BUN_X} run {baseDir}/scripts/main.ts
指定 .env 文件路径：
${BUN_X} --env-file=/path/to/.env run {baseDir}/scripts/main.ts
Dry-run 模式（只打印不发送）：
${BUN_X} run {baseDir}/scripts/main.ts --dry-run
输出格式
按平台分组推送到 Telegram，顶部附带 AI 分析的三大关键趋势（需配置 GROK_API_KEY）：
🔥 热词速报
━━━ 🎯 三大关键趋势 ━━━
1️⃣ AI代理兴起
💡 核心观点：AI代理技术正推动自动化任务执行
📊 关键数据：GitHub BitNet 今日+2149⭐
❗ 为什么重要：降低部署成本，促进广泛应用
🔗 https://github.com/microsoft/BitNet
━━━ HuggingFace Spaces ━━━
1. microsoft/TRELLIS.2 (🔥315)
2. Qwen/Qwen-Image-Layered (🔥264)
━━━ 每日论文 ━━━
1. SWE-EVO: Benchmarking... (👍3)
━━━ Hacker News ━━━
1. Python 3.15's interpreter... (🔥102 | 💬23)
━━━ Product Hunt ━━━
1. DiffSense (🔺211)
━━━ Reddit 热帖 ━━━
1. [r/singularity] GPT-5.2 Pro... (🔺346 | 💬83)
━━━ GitHub Trending ━━━
1. rendercv/rendercv ⭐+1,797 Python
自定义
脚本支持通过环境变量自定义：
REDDIT_SUBS- Reddit 子版列表，逗号分隔（默认：MachineLearning,LocalLLaMA,artificial,ChatGPT,singularity）ITEMS_PER_PLATFORM- 每个平台展示条数（默认：5）
示例
用户请求：
帮我发一下热词速报
执行流程：
- 检查环境变量是否配置（TELEGRAM_BOT_TOKEN、TELEGRAM_CHAT_ID）
- 执行
${BUN_X} run {baseDir}/scripts/main.ts - 确认 Telegram 发送结果
What ships with it
2 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.
- 12d ago First seen · 106 lines · 70 tokens per session scan A b022647e75f7
trends-bulletin is a skill published in the GitHub repository iamzhihuix/happy-claude-skills (306 stars, last pushed 4mo ago), licensed MIT. It adds 70 tokens to every session and 900 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 2026-08-30.
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