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BytesAgain β€Ί Skills β€Ί Oraclaw Simulate
πŸ¦€ ClawHub

Oraclaw Simulate

by @whatsonyourmind

Monte Carlo simulation for AI agents. Run thousands of probabilistic scenarios to model risk, forecast revenue, estimate project timelines, and quantify unce...

Versionv1.0.0
#clawhub
πŸ”’ Constraints

1. Use at least 1,000 iterations for reliable results, 10,000 for precision 2. Normal distribution for symmetric uncertainty (Β±range) 3. Lognormal for strictly positive values (revenue, prices) 4. Triangular when you know min/mode/max but not the shape 5. Beta for probabilities and percentages (bounded 0-1)

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TERMINAL
clawhub install oraclaw-simulate

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