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 aAAaqwq/AGI-Super-Team --skill binance-trendinggit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/binance-trending)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/binance-trending"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/binance-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/aaaaqwq/agi-super-team/binance-trending"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/binance-trending.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.01201 |
| Opus 5 | $0.00000 | $0.00600 |
| Sonnet 5 | $0.00000 | $0.00240 |
| Haiku 4.5 | $0.00000 | $0.00120 |
Grade A, and why
binance-trending scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🟡 Binance 热度猎杀 Skill v2.0
整合多数据源（0 浏览器依赖）→ 统一交易信号
数据源：Fear&Greed API + 新闻 RSS + Binance Ticker + (可选) Browser快照
核心脚本
skills/binance-trending/scripts/
├── scan_square_hunt.py # 整合主脚本（纯API，0浏览器依赖）
├── scrape_square.py # Browser快照解析（补充数据）
├── scrape_binance_hot.py # Binance热度（纯API）
└── scrape_news.py # 新闻RSS（纯API）
使用方式
推荐：快速模式（无需浏览器）
python3 "$SKILL_DIR/scripts/scan_square_hunt.py"
输出示例：
📊 热度猎杀整合 | 2026-04-23 22:34
😐 恐惧贪婪: 46 (Fear) | 中性
₿ BTC: $77,843 -1.18%
Ξ ETH: $2,329 -3.03%
📰 新闻: BEARISH (9多/17空)
🔥 热搜机会: BONK-2%📉 | JUP-5%📉 | CHIP-6%📉 | WLD-3%📉
🐋 大户动态: $+70,386 做空 | $-14,026 做多亏损
📋 信号:
🔴 [MEDIUM] BTC -1.2%+新闻偏空
→ 检查BTC below YES
数据源说明
| 数据 | 来源 | 依赖 |
|---|---|---|
| 恐惧贪婪指数 | Alternative.me API | ✅ 纯API |
| 新闻情绪 | CoinTelegraph + CoinDesk RSS | ✅ 纯API |
| BTC/ETH价格 | Binance data-api | ✅ 纯API |
| 热搜币排行 | Binance Square 页面 | ⚠️ Browser |
| 帖子盈亏 | Binance Square 页面 | ⚠️ Browser |
Browser 数据为补充，核心信号完全无需浏览器。
信号规则
| 条件 | 信号 | 操作 |
|---|---|---|
| BTC<-1.5% + 新闻偏空 | 🔴 BEARISH | 检查BTC below YES |
| BTC<-4% + 极度恐惧 | 🟢 HIGH | 观察BTC above抄底 |
| BTC>+2% + 极度贪婪 | ⚠️ CAUTION | 减少多头 |
| ETH<-4% | 🔴 ETH_DROP | 检查ETH below YES |
信号强度
| Edge | 触发条件 |
|---|---|
| HIGH | BTC急跌+极度恐惧 或 BTC强势+贪婪 |
| MEDIUM | BTC下跌+新闻偏空 或 ETH急跌 |
完整 Cron 流程（无浏览器）
0,30 * * * * python3 $SKILL/scripts/scan_square_hunt.py
每30分钟自动运行，输出 /tmp/hunt_signals.json。
Browser 增强模式（可选）
每6小时运行一次，获取热搜+帖子数据：
# 1. 打开页面
browser → open(url='https://www.binance.com/zh-CN/square/fear-and-greed-index')
# 2. 等待加载
browser → act(wait=6000ms)
# 3. 保存snapshot
browser → snapshot(compact=True) → 保存到 /tmp/binance_square_snapshot.txt
# 4. 运行完整模式
python3 $SKILL/scripts/scan_square_hunt.py --all
JSON 输出
{
"scan_time": "2026-04-23 22:34",
"fear_greed": {"value": 46, "label": "Fear"},
"market_mood": "中性",
"btc": {"price": 77843, "change_pct": -1.18},
"eth": {"price": 2329, "change_pct": -3.03},
"news": {"signal": "BEARISH", "bullish": 9, "bearish": 17},
"signals": [{"type": "BEARISH", "edge": "MEDIUM", ...}],
"hot_opportunities": ["CHIP-6%📉", "BONK-2%📉"],
"whale_actions": ["$+70,386 做空", "$-14,026 做多亏损"]
}
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.
- 5d ago First seen · 150 lines · 0 tokens per session scan A e324165ee84a
binance-trending is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,201 tokens. 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 2026-09-05.
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