Compare normalized Python, Stata, and R results under one frozen econometric validation specification. Use after all three engines finish, when classifying cross-engine differences, or when deciding whether a mismatch is implementation, parameterization,…
Independently audit the numerical and statistical implementation of an econometric command. Use after a command specification is frozen, after estimator code changes, or when validation differences may arise from samples, objectives, derivatives, covariance…
Audit an econometric command against primary methodological literature and map mathematical formulas to implementation and tests. Use after specification, after behavior changes, or when assumptions, parameterization, inference, identification, or…
Fix Python implementation issues identified by verify-command. Reads the verification report, analyzes discrepancies, applies fixes, and re-runs verification. Use when a verify-command report shows mismatches, or user says "fix report for XXX" or "patch XXX…
Black-box usability testing from a user's perspective. Use when you want to test a module/function by writing code as a real user would — no peeking at source code, signatures, or docs. The tester only knows the basic import path and writes code purely from…
Learn and document a Stata command for Python econometric implementation reference. Use when user says "learn stata command XXX" or wants to understand a Stata command's internals for replicating in Python. Workflow: fetch help via Stata-MCP, write demo…
Freeze a reproducible validation contract for one econometric command before any comparison or repair. Use when adding a command to the scientific validation pipeline, expanding supported options, changing estimator behavior, or preparing Python, Stata, and R…
Independently decide whether a complete econometric command validation run passes, fails, or is blocked and issue an immutable attestation. Use only after specification, code audit, theory audit, Python-Stata-R execution, and three-engine comparison are…