Chanlun Analysis Pro

PassAudited by VirusTotal on May 11, 2026.

Overview

Type: OpenClaw Skill Name: chanlun-analysis-pro Version: 2.0.0 The skill bundle provides a comprehensive and legitimate implementation of Chanlun (Zen Trading) technical analysis for the Chinese A-share market. It contains detailed Python code snippets using standard financial data libraries such as akshare, baostock, and czsc (references/chanlun_algorithm_python.md), along with structured analysis templates and practice guides. No evidence of malicious intent, data exfiltration, unauthorized execution, or harmful prompt injection was found; the instructions and code are strictly aligned with the stated purpose of quantitative trading analysis.

Findings (0)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

If a user chooses to run the examples, they may install external packages whose exact versions and provenance are not controlled by this skill.

Why it was flagged

The reference guide asks users to install third-party Python packages without version pins; this is purpose-aligned for quantitative stock analysis, but users should verify packages before installing.

Skill content
pip install czsc akshare baostock numpy pandas mplfinance ... pip install chanpy
Recommendation

Install only from trusted package indexes, consider pinning versions, and use a virtual environment before running the sample code.

What this means

A user could treat generated analysis as stronger financial guidance than it really is and make risky trades.

Why it was flagged

The guide uses high-certainty and position-sizing language for trading decisions; this matches the skill's purpose and other files include investment-risk disclaimers, but users should not over-trust the output.

Skill content
★★★★★ | ≥50% | 极强,必返回中枢 ... ★★★★ | 30-50% | 强,可重仓
Recommendation

Treat the skill as educational technical-analysis support, verify conclusions independently, and do not allow an agent to place trades or make financial decisions automatically.