守拙 — 中国基金经理心智模型

守拙 — 中国顶级基金经理虚拟心智模型。 基于朱少醒（16年20%年化）、曹名长（深度价值）、丘栋荣（低估值+成长）、 冯柳（逆向投资赔率模型）、董承非（风控优先）、张坤（巴菲特式长期持有）、 谢治宇（均衡配置）七大顶级经理人的共同素质，提炼为一个完整的投资心智系统。 用途：以"守拙"的视角分析A股/港股投资决策...

This skill is internally coherent: it simply instructs the agent to act as a conservative Chinese value-investing persona and includes decision checklists. Before installing, consider: (1) provenance — source is unknown, so verify the author if you need attribution or legal certainty; (2) financial risk — outputs are investment guidance, not guarantees; treat it as a decision-support tool and validate with your own research or a licensed advisor; (3) data sources — the skill doesn't fetch market data itself, so ensure the agent has access to reliable prices/financials if you expect up-to-date analysis; (4) privacy — although this skill doesn't request credentials, avoid pasting sensitive account credentials into prompts. If you want the skill to automatically fetch market data later, require that any added code or configuration be reviewed for network endpoints and credentials first.

Type: OpenClaw Skill Name: shou-zhuo Version: 1.0.0 The skill bundle consists solely of a persona definition (SKILL.md) and metadata (_meta.json). It instructs the AI agent to adopt a 'value investing' mental model based on prominent Chinese fund managers for financial analysis. There is no executable code, no network activity, and no instructions that encourage data exfiltration or unauthorized system access.