23策略股票分析技能
PassAudited by VirusTotal on May 11, 2026.
Overview
Type: OpenClaw Skill Name: stock-analysis-23 Version: 1.0.2 The skill bundle is a comprehensive stock analysis framework based on 23 technical indicators (M001–M023). It contains detailed documentation in SKILL.md and references/完整技能文档.md, including indicator formulas, scoring logic, and a Python-based decision engine template. No malicious code, data exfiltration, or harmful prompt injection attempts were detected; the bundle is entirely focused on its stated purpose of financial technical analysis and risk management.
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.
The skill may influence investment choices, but the artifacts do not show authority to execute trades or access brokerage accounts.
The skill is designed to provide concrete trading advice and position sizing. This is disclosed and purpose-aligned, and the disclaimer reduces concern, but users could still over-trust the outputs for financial decisions.
💡 **买卖建议** | 明确的买入/卖出/观望建议 ... 建议操作: 逢低买入 ... 建议仓位: 30%
Treat results as research support only, verify data and assumptions independently, and do not rely on the skill as a substitute for professional financial advice.
Analysis quality will depend on the external data/tools used, and tool calls may fetch market data from third-party providers.
The skill expects the agent to use external market-data and calculation tools. This is expected for the stated purpose and no unsafe shell execution, mutation, or credential use is shown.
调用akshare获取比亚迪(002594)近期K线数据 ... 使用pandas-ta计算23个技术指标
Use trusted market-data tools, review any tool calls if your agent asks for approval, and verify important outputs against reliable sources.
Users have less information about the publisher/source history, although no runnable code is present in the provided artifacts.
The registry metadata provides limited provenance. This is a low-risk note because the supplied skill is instruction-only with no install script or code files.
Source: unknown; Homepage: none
Install only if you trust the publisher, and verify any separately installed data or analysis dependencies before use.