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industry-funnel

An AI agent skill from xbtlin/ai-berkshire, scored 54 out of 100 by code.

54/ 100D

Code score by group

  • Spec20/20
  • Description4/20
  • Procedure7/15
  • Done criteria0/15
  • Resources8/10
  • Scripts5/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Description (16), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

AI Berkshire skill: 行业漏斗筛选：从全市场到 3 家的价值投资精选流程. Source: skills/industry-funnel.md.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
xbtlin/ai-berkshire
Folder
codex-skills/industry-funnel
License
MIT
GitHub stars
17,100
SKILL.md lines
321
Other files
0

Add industry-funnel to your agent

npx skills add xbtlin/ai-berkshire --skill industry-funnel

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

More skills from xbtlin/ai-berkshire

  1. portfolio-review

    AI Berkshire skill: 组合管理：从"研究公司"到"管理组合". Source: skills/portfolio-review.md.

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  2. deep-company-series

    AI Berkshire skill: 看懂XX公司（深度公司系列）：3-8 篇长文拆一家公司. Source: skills/deep-company-series.md.

    67C
  3. news-pulse

    公司新闻脉搏：股价异动时快速归因。用 4 个并行 Agent 侦察公司事件/监管政策/行业对手/市场情绪，产出"事件时间线 + 异动主因判断 + 是否触发论文重审"。

    67C
  4. earnings-review

    AI Berkshire skill: 财报精读：一手资料深度解读. Source: skills/earnings-review.md.

    64C
  5. investment-checklist

    AI Berkshire skill: 巴菲特价值投资买入前 Checklist. Source: skills/investment-checklist.md.

    64C
  6. investment-memo-craft

    Codex-only writing and layout overlay for AI Berkshire investment research reports. Use whenever Codex creates, rewrites, revises, or critiques company/industry/fund research repo…

    63C
  7. investment-team

    AI Berkshire skill: 投研团队：四角色并行分析框架. Source: skills/investment-team.md.

    63C
  8. investment-research

    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.

    62C

All skills in xbtlin/ai-berkshire

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.