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 btc-5min-scalpergit 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/btc-5min-scalper)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/btc-5min-scalper"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/btc-5min-scalper/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/btc-5min-scalper"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/btc-5min-scalper.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 | $0.00126 | $0.01461 |
| Opus 5 | $0.00063 | $0.00731 |
| Sonnet 5 | $0.00025 | $0.00292 |
| Haiku 4.5 | $0.00013 | $0.00146 |
Grade C, and why
btc-5min-scalper scanned grade C with 2 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 7d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s 'https://api.binance.com/api/v3/klines?symbol=BTCUSDT&interval=1h&limit=24' | python3 -c " Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s 'https://api.binance.com/api/v3/ticker/24hr?symbol=BTCUSDT' | jq '{high:.highPrice,low:.lowPrice}' How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BTC 5-Min Scalper — Paper Trading System
Polymarket的"Bitcoin Up or Down - 5 Minutes"市场模拟交易系统。
市场结构
- 玩法: 5分钟窗口内BTC涨(Up)还是跌(Down)
- 赔率: ~50/50 (Up 49-52¢ / Down 48-51¢)
- 结算: Chainlink BTC/USD，窗口结束价 vs 开始价
- 频率: 每5分钟一场，连续24/7
- URL模式:
polymarket.com/event/btc-updown-5m-{unix_timestamp}
信号系统 (6层)
运行信号扫描: bash scripts/scan_signals.sh
| ID | 策略 | 触发条件 | 方向 | 置信度 |
|---|---|---|---|---|
| S1 | 动量跟随 | 最近3根1m K线同向 | 跟随 | 中 |
| S2 | 均值回归 | 5min累计波动 > ±$150 | 反向 | 中高 |
| S3 | 放量突破 | 最新vol > 2x近25根均值 | 跟随放量方向 | 高 |
| S4 | RSI极值 | 1m RSI <25或>75 | 反向 | 中 |
| S5 | 赔率偏差 | Polymarket Up/Down偏离>55/45 | 逆向 | 低 |
| S6 | 支撑/阻力位 | 价格接近24h高低点或整数关口 | 反弹/突破 | 中高 |
S6 支撑/阻力位策略 (3/12新增)
核心思想: 价格不是随机游走，关键价位有"记忆"。
识别方法:
# 获取支撑/阻力位
curl -s 'https://api.binance.com/api/v3/ticker/24hr?symbol=BTCUSDT' | jq '{high:.highPrice,low:.lowPrice}'
curl -s 'https://api.binance.com/api/v3/klines?symbol=BTCUSDT&interval=1h&limit=24' | python3 -c "
import json,sys
candles=json.load(sys.stdin)
lows=[float(k[3]) for k in candles]
highs=[float(k[2]) for k in candles]
price=float(candles[-1][4])
support=min(lows)
resistance=max(highs)
print(f'现价: ${price:,.0f}')
print(f'24h支撑: ${support:,.0f} (距{(price-support)/price*100:.1f}%)')
print(f'24h阻力: ${resistance:,.0f} (距{(resistance-price)/price*100:.1f}%)')
# 整数关口
for level in range(int(price//1000)*1000, int(price//1000+2)*1000, 1000):
dist=(level-price)/price*100
if abs(dist)<2:
print(f'整数关口: ${level:,} (距{dist:+.1f}%)')
"
信号规则:
- 价格距支撑位<0.3% + 前一根K线下影线长 → UP信号 (支撑反弹)
- 价格距阻力位<0.3% + 前一根K线上影线长 → DOWN信号 (阻力压制)
- 价格突破阻力位(收盘>阻力) + 放量 → UP信号 (突破跟随)
- 价格跌破支撑位(收盘<支撑) + 放量 → DOWN信号 (破位跟随)
与其他策略协同:
- S6支撑反弹 + S2均值回归 → 高置信度组合
- S6突破 + S3放量 → 高置信度组合
- S6阻力压制 + S1下跌动量 → 做空信号增强
入场规则
- ≥2个策略同向 → 入场，虚拟$2
- 1个信号 → SKIP，记录倾向
- 0个信号 → SKIP
出场规则
- 持有到5min窗口结算，不中途退出
- 每笔固定$2（虚拟），不加仓
工作流
1. 扫描信号
bash scripts/scan_signals.sh
输出各策略信号状态和综合建议。
What ships with it
5 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.
- 7d ago First seen · 116 lines · 126 tokens per session scan C fb81d9caa34d
btc-5min-scalper is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (92 stars, last pushed yesterday), licensed MIT. It adds 126 tokens to every session and 1,461 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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