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think-like-warren-buffett像沃伦·巴菲特一样思考

Agent Skill

think-like-warren-buffett 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:think-like-warren-buffett(像沃伦·巴菲特一样思考)
来源仓库:https://github.com/yixiao1032-publish/think-like-warren-buffett
安装命令:
openclaw skills install think-like-warren-buffett
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install think-like-warren-buffett

简介

模拟巴菲特投资哲学,提供股票时间点分析与伯克希尔案例研究。

  • 适合价值投资者学习格雷厄姆式承销策略与长期决策方法。
  • 可生成买入/持有建议,结合财报与市场数据进行推演。
  • 安装命令:openclaw skills install think-like-warren-buffett。
  • 输出仅为模拟观点,不构成真实投资建议,需自行核实风险。

SKILL.md

name
buffett-oracle
description
Point-in-time Buffett-style company analysis for stocks, Berkshire case studies, and BUY/PASS verdicts. Use when the user wants a Buffett/Graham underwriting memo, moat test, control-group comparison, or benchmark backtest grounded in cached company cards and strict decision-date discipline.
homepage
https://github.com/yixiao1032-publish/buffet-oracle
metadata
clawdbot
emoji
🔮
requires
env
[]
files

Buffett Oracle is a research skill for deciding whether a company deserves a BUY or PASS under a strict Buffett + Graham underwriting framework.

Use this skill when the user wants:

  • A Buffett-style memo on a public company, bank, utility, or crypto protocol
  • A point-in-time re-underwriting of a Berkshire decision
  • A moat explanation tied to hard numbers, not vibes
  • A clean BUY / PASS verdict instead of a hedged summary
  • A comparison against prior benchmark cases or same-era control groups

Read Order

Read only what you need:

  • buffett-oracle.md

Use for the Buffett Oracle persona, output structure, and portable prompt wording.

  • buffett_brain.md

Use for the Graham operating layer, 7 hard gates, named exemptions, and moat logic.

  • coverage_scope.md

Read before making any claim about benchmark completion or historical coverage.

  • company_cards/

Check first. If a matching card already exists, reuse it and do not re-fetch the filing.

  • backtest_results.md and analysis_index.json

Use for benchmark precedents and indexed case linkage.

  • universe_expansion.md and universe_expansion_index.json

Use for non-benchmark precedents without polluting the benchmark hit-rate.

  • methodology_audit.md

Read when the user asks how reliable the framework is, or whether the score implies predictive power.

  • gate_review.md

Read when the user asks why certain high-quality assets still fail the hard gates.

Non-Negotiables

  • Use only information that was public on or before the decision date.
  • Never describe the 29 benchmark rows as Buffett or Berkshire's full investment universe.
  • Never re-fetch a company that already has a cached card in company_cards/.
  • If any hard gate fails, default to PASS unless a named exemption clearly applies.
  • Every BUY needs two same-era control groups.
  • Lock the BUY / PASS conclusion before revealing what Buffett actually did.
  • Treat this as a research framework, not personalized investment advice.

Workflow

  1. Classify the request as INVESTMENT, SPECULATION, or TOO_HARD.

If it is SPECULATION or TOO_HARD, explain why and stop.

  1. Check company_cards/ for a cached <TICKER>_<YEAR>.json.

Reuse the card if present. Only fetch a new filing when no card exists.

  1. Run the 7 hard gates from buffett_brain.md.

Any failed gate means PASS, unless one of the named exemptions below is explicitly justified.

  1. Apply required overlays when triggered.

If g2 fails but moat still matters, add an owner-earnings note. If g6 fails but moat still matters, add a quality-multiple note. For new live or expansion memos, include management_veto as clear, watch, or fail.

  1. Write the moat paragraph.

If you cannot explain why competitors cannot replicate the business in 10 years, the answer is PASS.

  1. For every BUY, include the safety-margin math.

State owner's earnings or normalized earnings, value range, required return, and implied discount.

  1. Pick two same-era control-group companies that Buffett did not buy.

Run the same gate logic on them. If they also pass, explain the differentiator.

  1. Lock the verdict before reveal.

Only after the verdict should you reveal Buffett's action, later outcome, and whether the framework agreed.

  1. If you are updating this repository, save the card, append the memo to the correct markdown archive, and update the matching index JSON.

Named Exemptions

  • CRISIS_PREFERRED

For Goldman 2008 / BAC 2011 / GE 2008 style preferred-plus-warrant rescue structures.

  • INFRA_EXEMPTION

For rail and utility monopolies when monopoly status is clear and EV/EBITDA < 15x.

  • GROWTH_EXCEPTION

For high-ROIC compounders where weak raw FCF mostly reflects value-creating expansion rather than bad economics.

If you invoke an exemption, say so explicitly and defend it.

Output Contract

Use this summary block in the final answer:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CLASSIFICATION: [INVESTMENT / SPECULATION / TOO_HARD]
VERDICT: [BUY / PASS]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Hard Gates: [all passed / failed gates / exemption applied]
Named Exemption: [CRISIS_PREFERRED / INFRA_EXEMPTION / GROWTH_EXCEPTION / none]
Moat Type: [brand / network / switching cost / cost advantage / none]
Safety Margin: [owner's earnings, value range, required return, implied discount]
Key Conviction: [one sentence]
Key Risk: [one sentence]
Control Group: [Company A | Company B]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Then reveal:

  • what Buffett or Berkshire actually did
  • what happened afterward
  • whether the framework and Buffett agreed

Data Guidance

  • For US equities, prefer SEC EDGAR press-release or annual-report pages before full 10-K pulls.
  • For non-US companies, use official annual reports or equivalent filings.
  • For crypto or Web3, use on-chain and protocol-source documents, but keep the same anti-speculation bar.
  • Post-decision facts belong only in the reveal section, never in the underwriting logic.

Scope Reminder

The audited benchmark is a curated 29-case set. It is evidence of archive coverage, not a promise of forward hit rate and not the full Berkshire history.

适合场景

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用户想查找某类 Agent Skill 时

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能力 1

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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