deep-stock
PassAudited by VirusTotal on May 13, 2026.
Overview
Type: OpenClaw Skill Name: deep-stock Version: 1.0.0 The 'deep-stock' skill bundle is a comprehensive and well-documented framework for financial analysis based on a structured methodology (Charlie V3.0). The files (SKILL.md, README.md, and charlie-v3.0.md) contain detailed instructions for an AI agent to perform multi-layered stock research, including macro analysis, valuation, and Bayesian probability updates. There is no evidence of data exfiltration, malicious code execution, or prompt injection intended to subvert the agent's behavior; instead, the instructions include quality control measures such as data verification and prohibitions against fabricating information.
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 agent may query public financial sources and reports while preparing an analysis, which can affect what data and sources appear in the final report.
The methodology tells the agent to automatically perform external research for each stock-analysis task. This is aligned with the skill's purpose, but users should know the agent may use search/web tools without a separate reminder.
每次股票分析任务自动触发，无需用户提醒 ... 搜索清单（必须执行）
Review cited sources, timestamps, and assumptions before relying on the analysis.
A user could make investment decisions based on model-generated analysis that may contain incorrect data or assumptions.
The skill is framed as professional-grade analysis and produces investment action recommendations. The artifacts also warn that AI may hallucinate and encourage verification, so this is a trust/overreliance note rather than a deception concern.
Deep Stock 告诉你它现在值多少钱——以及现在是不是该行动的时机 ... 最终结论：买入
Treat outputs as research assistance, not financial advice; verify key numbers and consult qualified professionals for material investment decisions.
If a report contains personal holdings, strategy, or other private financial context, sharing it with another AI could disclose that information.
The skill recommends using other AI systems to cross-check reports. This is user-directed and purpose-aligned, but it may involve copying generated reports or portfolio context to another provider.
换一个 AI 说："检查这份报告的数据，找出所有可疑的数字" ... 让多个 AI 互相质疑数据
Remove private portfolio or account details before sending reports to other AI systems for verification.