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chanlun

缠论技术分析 Skill,用于 Solana Meme 币的 K 线结构分析、笔/线段/中枢识别、背驰判断和买卖点输出。当用户询问某个代币的技术面、买卖时机、趋势判断、是否有买点/卖点时使用。

Install / Use

npx skills add erhanrensheng/chanlun-skill

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

68/100

Supported Platforms

Universal

Tags

Our assessment of chanlun

chanlun scores 68/100 on our quality scale, 3842nd of 4,571 Development & Engineering skills we index.

Its SKILL.md is 3.1 KB long, well organised into 21 sections with 7 code examples: a solid amount of guidance for an agent.

It has no GitHub stars yet, so there is no community track record; judge it on its content.

Substance
26/30
Structure
20/20
Description
12/15
Adoption
0/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • Our last check on 2026-09-27 found the source still online.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 74/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

Review

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review judged it risky: The skill tells the agent to auto-clone an external GitHub repo (bitget-wallet-skill) on every load and continue, fetching remote code without explicit user approval.

AI review: risky

  • The skill tells the agent to auto-clone an external GitHub repo (bitget-wallet-skill) on every load and continue, fetching remote code without explicit user approval.
  • It then directs the agent to run local Python scripts (analyze.py, bi.py, kline_fetch.py) that import from the cloned dependency, effectively executing code from an unverified remote source.
  • It declares a dependency on bitget-wallet-skill for trade execution capability, creating a path where a technical-analysis skill can lead to trading/financial actions even though it claims not to auto-trade.

AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

chanlun compared with similar skills

All 4 of these similar skills score higher than chanlun; compare them before choosing.

SkillScoreStarsUpdatedFormat
chanlun (this skill)by erhanrensheng6807mo agoSKILL.md
ai-job-searchby MadsLorentzen10045.3ktodayCLAUDE.md
claude-howtoby luongnv8910041.8k8d agoCLAUDE.md
algorithmic-artby anthropics100177.9k16d agoSKILL.md
pptxby anthropics100177.9k16d agoSKILL.md

Frequently asked questions

How do I install chanlun?
Run npx skills add erhanrensheng/chanlun-skill. The install tabs above show the steps for each supported agent.
Which AI agents does chanlun work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is chanlun safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review judged it risky: The skill tells the agent to auto-clone an external GitHub repo (bitget-wallet-skill) on every load and continue, fetching remote code without explicit user approval. It declares no license and scores 74/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is chanlun still maintained?
The repository was last updated about 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.

name: chanlun version: "2026.3.13-1" updated: "2026-03-13" description: "缠论技术分析 Skill,用于 Solana Meme 币的 K 线结构分析、笔/线段/中枢识别、背驰判断和买卖点输出。当用户询问某个代币的技术面、买卖时机、趋势判断、是否有买点/卖点时使用。"

缠论 Skill

依赖

本 Skill 依赖 bitget-wallet-skill 提供 K 线数据和交易执行能力。

启动时检查(每次加载 Skill 时执行):

# 检查 bitget-wallet-skill 是否存在(相对于本 Skill 的父目录)
ls ../bitget-wallet-skill/scripts/bitget_api.py

如果不存在,自动安装:

cd ..
git clone https://github.com/bitget-wallet-ai-lab/bitget-wallet-skill.git

安装完成后继续。如果 clone 失败(无网络/权限),告知用户手动执行上述命令。

Python 依赖检查:

pip install requests -q

使用方式

所有分析通过 scripts/ 目录下的脚本执行,用户无需直接操作,由 Agent 在后台调用。


分析流程

第一步:获取并预处理 K 线

python3 scripts/bi.py --chain <chain> --contract <contract> --period <period> --size 300

周期选择建议:

| 市场状态 | 推荐周期 | |---------|---------| | Meme 币日内短线 | 1m / 5m | | Meme 币波段 | 15m / 1h | | SOL / 大盘币 | 1h / 4h |

输出解读:

  • 原始K线 → 处理K线:合并了多少包含关系
  • 笔列表:每笔的方向、起止时间、价格、涨跌幅
  • 进行中:当前最新笔尚未被反向分型确认,仍在延伸

核心概念(Domain Knowledge)

包含关系

两根 K 线,若一根的 high/low 完全覆盖另一根,则存在包含关系,按方向合并为一根处理K线:

  • 上涨方向:取两者中 high 较大、low 较大(向上合并)
  • 下跌方向:取两者中 high 较小、low 较小(向下合并)

分型

  • 顶分型:连续三根处理K线,中间一根的 high 严格最高
  • 底分型:连续三根处理K线,中间一根的 low 严格最低

笔

  • 一个顶分型 + 一个底分型(或反向)构成一笔
  • 两个分型中心索引差 >= 3(中间至少有1根独立处理K线)
  • 方向交替(不能连续两个同向分型构成笔)
  • 同向分型竞争时,保留更极端的(更高的顶 / 更低的底)

判断当前走势

  • 最新笔方向:当前行情的短期方向
  • 笔的序列:连续多笔的高点/低点是否在抬升或下降
  • 涨跌幅对比:相邻同向笔的幅度是否收缩(背驰前兆)

常见任务

任务:分析某 token 是否有买点

  1. 运行 bi.py 获取笔列表
  2. 检查最新笔是否为向上笔(进行中)
  3. 检查前几笔是否构成底部结构(连续下跌笔后出现向上笔)
  4. 检查向下笔序列:如果下跌幅度逐笔收缩 → 底背驰前兆
  5. 结合成交量(tx-info):下跌笔成交量萎缩 → 更强烈的底部信号
  6. 输出结论和建议入场区间

任务:扫描市场找机会

  1. 调用 bitget-wallet-skill 的 rankings(topGainers / Hotpicks)获取候选列表
  2. 对每个候选 token 运行 bi.py
  3. 筛选:最新笔为向上笔 + 近期笔结构有底部形态 的 token
  4. 输出候选列表供用户选择

任务:判断当前是否该卖

  1. 运行 bi.py 获取笔列表
  2. 检查最新笔是否为向下笔(进行中)
  3. 检查向上笔序列:如果涨幅逐笔收缩 → 顶背驰前兆
  4. 输出风险提示

脚本参考

scripts/analyze.py — 完整分析主入口(P0+P1+P2 全流程)

python3 scripts/analyze.py \
  --chain <chain>       \  # sol / eth / bnb / base ...
  --contract <address>  \  # 合约地址,原生代币用空字符串 ""
  --period <period>     \  # 1m / 5m / 15m / 1h / 4h
  --size <n>            \  # K线数量,建议 200~300
  --symbol <name>          # 可选,代币符号(仅用于显示)

输出包含:

  • K线预处理摘要
  • 笔识别(最近5笔)
  • 线段识别(最近4条)
  • 中枢分析(ZG/ZD/位置/趋势)
  • 背驰判断(是否顶/底背驰)
  • 买卖点信号(一买/二买/三买/一卖/二卖/三卖)
  • 综合结论(趋势 + 建议 + 止损位)

这是 Agent 应优先调用的命令。


scripts/bi.py — P0 主入口(K线预处理 + 笔识别)

python3 scripts/bi.py \
  --chain <chain>       \  # sol / eth / bnb / base ...
  --contract <address>  \  # 合约地址,原生代币用空字符串 ""
  --period <period>     \  # 1m / 5m / 15m / 1h / 4h
  --size <n>               # K线数量,建议 200~300

输出包含:

  • K线预处理摘要(原始/处理数量、合并数)
  • 笔列表(方向、时间、价格、涨跌幅、是否进行中)

scripts/kline_fetch.py — 直接获取 K 线数据

python3 scripts/kline_fetch.py \
  --chain sol --contract "" --period 5m --size 100

链标识速查

| 链 | 代码 | |----|------| | Solana | sol | | Ethereum | eth | | BNB Chain | bnb | | Base | base | | Arbitrum | arbitrum |

原生代币(SOL/ETH/BNB)使用空字符串 "" 作为合约地址。


安全原则

  • 本 Skill 仅做技术分析,不自动执行交易
  • 买卖点判断仅供参考,实盘需结合安全审计(使用 bitget-wallet-skill 的 security 命令)
  • 交易执行始终需要用户明确确认

Related Skills

View on GitHub
GitHub Stars0
CategoryDevelopment
Updated6mo ago
Forks0

Trust signals

74/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium2 low
chanlun — Universal Skill: Install & Safety Check | SkillAgent