Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
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 HKUDS/Vibe-Trading --skill chanlungit clone --depth 1 https://github.com/HKUDS/Vibe-TradingWrote 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/hkuds/vibe-trading/chanlun)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/chanlun"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/chanlun/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/hkuds/vibe-trading/chanlun"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/chanlun.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00087 | $0.01430 |
| Opus 5 | $0.00044 | $0.00715 |
| Sonnet 5 | $0.00017 | $0.00286 |
| Haiku 4.5 | $0.00009 | $0.00143 |
Grade A, and why
chanlun 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 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.
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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
缠论形态识别
用途
基于缠中说禅理论的价格形态识别。缠论是一套完全基于价格结构的技术分析方法，核心链路：
原始K线 → 去包含处理 → 分型识别 → 笔检测 → 中枢构建 → 买卖点判定
适用于任何有 OHLCV 数据的市场（A股、加密货币、期货等）。
核心概念
| 概念 | 说明 | 详细文档 |
|---|---|---|
| 分型（FX） | 顶分型：中间K线最高；底分型：中间K线最低 | 分型 |
| 笔（BI） | 相邻顶底分型之间的一段走势，最小单元 | 笔 |
| 中枢（ZS） | 至少3笔构成的价格重叠区域，趋势的核心 | 中枢 |
买卖点体系
| 买卖点 | 含义 | 详细文档 |
|---|---|---|
| 一买/一卖 | 趋势结束后的第一个反转信号（背驰点） | 一买一卖 |
| 二买/二卖 | 一买/一卖后回调不破底/顶的确认信号 | 二买二卖 |
| 三买/三卖 | 中枢上移/下移后回调不进入前中枢的信号 | 三买三卖 |
依赖安装
pip install czsc requests pandas
快速上手
from czsc import CZSC, RawBar, Freq
from datetime import datetime
# 准备 RawBar 列表（需按时间正序排列）
bars = [
RawBar(symbol="BTC-USDT", id=0, dt=datetime(2026,1,1),
freq=Freq.D, open=70000, close=71000,
high=72000, low=69000, vol=1000, amount=71000000),
# ... 更多K线
]
# 创建分析器，自动检测分型/笔/中枢
c = CZSC(bars)
# 访问结果
print(c.bi_list) # 已完成的笔
print(c.bars_ubi) # 未完成笔中的K线
可用信号函数（czsc.signals.cxt）
czsc 内置 43 个缠论信号函数，核心如下：
| 函数 | 说明 | 类型 |
|---|---|---|
cxt_first_buy_V221126 |
一买信号 | 买卖点 |
cxt_first_sell_V221126 |
一卖信号 | 买卖点 |
cxt_second_bs_V230320 |
均线辅助二买二卖 | 买卖点 |
cxt_third_bs_V230318 |
均线辅助三买三卖 | 买卖点 |
cxt_third_buy_V230228 |
笔三买辅助 | 买卖点 |
cxt_double_zs_V230311 |
两中枢组合判断BS1 | 中枢 |
cxt_three_bi_V230618 |
三笔形态分类 | 形态 |
cxt_five_bi_V230619 |
五笔形态分类 | 形态 |
cxt_seven_bi_V230620 |
七笔形态分类 | 形态 |
cxt_nine_bi_V230621 |
九笔形态分类 | 形态 |
cxt_eleven_bi_V230622 |
十一笔形态分类 | 形态 |
cxt_bi_base_V230228 |
BI基础信号（方向/转折） | 基础 |
cxt_bi_end_V230312 |
MACD辅助笔结束 | 辅助 |
cxt_range_oscillation_V230620 |
区间震荡判断 | 辅助 |
cxt_zhong_shu_gong_zhen_V221221 |
大小级别中枢共振 | 中枢 |
信号约定
- 信号引擎输出：
1=做多，-1=做空，0=观望 - 做多条件：一买信号 或 三笔向上盘背 或 五笔类一买
- 做空条件：一卖信号 或 三笔向下盘背 或 五笔类一卖
- 中枢辅助：价格在中枢下沿附近做多优势，上沿附近做空优势
What ships with it
7 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 Changed 9e4800c5d434
- 11d ago First seen · 111 lines · 87 tokens per session scan A a8c6a42939af
chanlun is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,177 stars, last pushed yesterday), licensed MIT. It adds 87 tokens to every session and 1,430 once invoked, about $0.0004 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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