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neerajcodz/ml-stack

v0.2.0MIT

Requirements-driven ML research, experiments, validation, and evidence audit for coding agents.

ml-stack-tracking

Track and diagnose ML runs when a user asks for run identity, metrics, artifacts, dashboards, structured events, NaN or divergence alerts, stalls, privacy, or retrieval; use ledger semantics without claiming an unavailable provider integration.

Read SKILL.md at the source

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