AI Berkshire skill: 投资研究:巴菲特-芒格-段永平-李录 四大师综合分析框架. Source: skills/investment-research.md.
59
67%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./codex-skills/investment-research/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
This workflow’s “数据收集” step instructs using Task/background Agents to fetch financial data from public sources like macrotrends/stockanalysis/aastocks/东方财富/巨潮资讯 at runtime, which constitutes outsider-authored free text ingested into the LLM via web-scraped or API-delivered page/article/comment/body content.
634a399
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.