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ai-berkshire

Automate professional investment research by applying value investing principles from Buffett and Munger through Claude AI agents.

★ 1 starsupdated 0d agogithub ↗
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76fair
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
100
25.0
Adoption
20%
3
0.6
Quality
10%
100
10.0
Trust
10%
50
5.0
Total
75.6
⚿ Capabilities & Risk Explainer
fs readfs writenetworkevalsecrets
◆ Risk level: high
fs read + fs write + network + 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/Hugoistaske/ai-berkshire
📈 Score historylast 15 snapshots
5/25/20266/6/2026 · 15 snapshots
⚙ Maintenance health
maintenance data not yet available — check back later.
⛁ Raw data
weekly downloads0
github stars1
forks2
open issues0
license✓ present
readme length10879 chars
last publish0d ago
last commit0d ago
last updated1d ago
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ai-berkshire — MCP Score: 76/100 | MCPScore | Timeahead