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5minbtc

5minbtc is a skill for Claude Code from aAAaqwq/AGI-Super-Team. It costs 160 tokens per session (4,143 once invoked), scanned A, original, MIT.

A tool for estimating the short-term direction and closing price of Bitcoin’s five-minute candlesticks, which are chart bars showing price movement over five minutes. It combines an engine with language-model analysis and can monitor new candles over time.

In plain words
What is it for?
Use it to inspect the current five-minute Bitcoin candle, monitor signals during a session, or observe five-minute Up/Down prediction markets. It is not a guarantee of future prices.
Why use it?
It organizes several market signals and monitoring steps into one process for very short-term Bitcoin analysis.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /home/aa/.hermes/profiles/cqo/skills/5minbtc/.

Part of the agi-super-team plugin — 194 skills, 1 agent shipped together

not rated 91repo today A scan 160 tokens original MIT

Good fit Use it to inspect the current five-minute Bitcoin candle, monitor signals during a session, or observe five-minute Up/Down prediction markets. It is not a guarantee of future prices.

Compare 6 skills from other repositories ↓
View source ↗ aAAaqwq/AGI-Super-Team npmjs.com
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add aAAaqwq/AGI-Super-Team
Claude Code
/plugin install agi-super-team

Made for: Claude Code.

Or install agi-super-team, the plugin that ships this one along with the rest of its 194 skills, 1 agent.

Wrote 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.

agentmods badge for 5minbtc

README.md
[![agentmods](https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/5minbtc/github.svg)](https://agentmods.dev/skills/aaaaqwq/agi-super-team/5minbtc)
Your own site
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/5minbtc"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/5minbtc/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.

agentmods 80×15 button for 5minbtc

Your own site · 80×15
<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/5minbtc"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/5minbtc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 160 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,143 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00160 $0.04143
Opus 5 $0.00080 $0.02072
Sonnet 5 $0.00032 $0.00829
Haiku 4.5 $0.00016 $0.00414

Measured 10d ago against content hash 4a438c2baf02, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

5minbtc 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 10d ago.

The scan reads SKILL.md. This mod also ships 8 executable files (5minbtc-engine-v5.7.py, 5minbtc-log.py, 5minbtc-news.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/5minbtc/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

5minbtc — BTC 5分钟实时预测 v5.9.0

BTC 单根 5min K线 方向 + 收盘价预测。引擎+LLM 混合架构。 SKILL.md 是索引, 详细内容见 references/。 v5.9 核心转变: 从"13因子预测器"→"3信号错价检测器"(见 对抗式审查报告)

触发

5minbtc / 5min btc / btc 5min / 监控 (配合持续盯盘)

何时使用

场景 做法
当前 5min K线 方向+价位 ✅ 标准流程, 有真实 edge (v5.8 回测 61-70%)
会话内持续盯盘, 等明确信号 ✅ 监控模式 (scripts/5minbtc-monitor.py + Monitor 工具)
币安预测市场 Up/Down 5m 交易 ✅ paper 模拟/实时监控 (见 预测市场策略)
"今晚 BTC 涨跌" (宽窗口) ⚠️ 跑当前 K线 + 给方向倾向, 标注"超出引擎置信区间"
"下根 K线" / "1小时后" 引导在该 K线 起始时间再触发

监控模式 (Claude Code)

详见 monitoring-claude-code.md

# 无限持续, 直到用户喊停 (会话内盯盘推荐)
Monitor(command: "python3 <SKILL>/scripts/5minbtc-monitor.py --max-runs 0", persistent: true)

# 默认 20 次采样 (约 40 分钟)
python3 <SKILL>/scripts/5minbtc-monitor.py

# 单次判断 (非持续)
python3 <SKILL>/scripts/5minbtc-monitor.py --dry-run
  • 明确信号 = bias 非中性 + strength∈{medium,moderate,strong} + conf≥50 → 自动停 (⚠️ 实测引擎 strength 输出 medium, 判定集合需同时含 medium 和 moderate)
  • 每根 K 线第 2/3 分钟采样 (progress ~40-70%), 比 cron 第 4 分钟更早
  • 事件流: START / DIR-CHANGE / CLEAR-SIGNAL / ENGINE-ERR / MAX-RUNS
  • 停止: 用户说「停/结束」→ TaskStop 停 Monitor
  • CLEAR-SIGNAL 后必须拉一次完整引擎快照二次确认
  • 引擎验证: python3 -m pytest scripts/test_engine_v58.py -v (12 项)

快速开始

SKILL_DIR=/home/aa/.hermes/profiles/cqo/skills/5minbtc

# 1. 并行: 引擎 + 新闻 + settle (前一根)
python3 $SKILL_DIR/5minbtc-log.py settle-all 2>&1
python3 $SKILL_DIR/5minbtc-engine-v5.7.py 2>&1
python3 $SKILL_DIR/5minbtc-news.py 2>&1

# 2. 3 路 web_search (并行)
# "Bitcoin BTC breaking news price" / "crypto market macro stocks today" / "比特币 BTC 最新 晚间"

# 3. LLM 分析 → 输出 (见 output-template.md)
# 4. 写日志
python3 $SKILL_DIR/5minbtc-log.py log \
  "<candle.iso>" <pred_close> <pred_high> <pred_low> \
  <conf> <bias> <news_sent> <vol_pct>

架构 (1 行/组件)

  • 引擎 5minbtc-engine-v5.7.py (v5.9): 3信号方向判断(half_body延续1.2 + volume放量0.8 + meanrev回归0.3) + 三层独立过滤(多周期4h/1h/15m + 跨资产ETH/SOL + 真订单流OFI) + 9路并行HTTP
  • 订单流 scripts/ofi_feed.py: trade+bookTicker 组合流 tick规则推断主动买卖, 写 ~/bb-auto/ofi.json (launchd: com.daniel.ofi-feed)
  • 日志 5minbtc-log.py: jsonl 追加 + 增量 settle (写入 logs/)
  • 新闻 5minbtc-news.py: CoinDesk RSS (唯一稳定源, ~14min 延迟)
  • LLM: 因子打分基准 + LLM 综合裁决 + 模板输出

Read the full file on GitHub · 223 lines

Files

What ships with it

60 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.

Changes

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.

  1. 10d ago First seen · 223 lines · 160 tokens per session scan A 4a438c2baf02

Subscribe to this mod's changes

5minbtc is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It adds 160 tokens to every session and 4,143 once invoked, about $0.0008 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.

Analytics and metricsClaude CodeFinance and fintechagent-orchestrationagent-skillsai-agent-frameworkai-agentsdeveloper-tools
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