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ai-berkshire

AI 时代的伯克希尔：基于 Claude Code 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。

★ 14k starsupdated 1d agogithub ↗
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82good
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
100
25.0
Adoption
20%
40
8.0
Quality
10%
90
9.0
Trust
10%
50
5.0
Total
82.0
⚿ Capabilities & Risk Explainer
fs readfs writenetworkexecevalsecrets
◆ Risk level: high
fs read + fs write + network + exec + eval + secrets active — can execute code, access credentials, and make external network calls.
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/xbtlin/ai-berkshire
📈 Score historylast 21 snapshots
6/6/20267/21/2026 · 21 snapshots
⚙ Maintenance health
37/ 100 · is this project alive?
contributors (1y)9
top contributor share62%
releases (1y)1
last release89d ago
ci✗ none
⛁ Raw data
weekly downloads0
github stars14k
forks2k
open issues25
license✓ present
readme length17825 chars
last publish0d ago
last commit1d ago
last updated7d ago
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