Metrology skill covering units and measurement uncertainty, with six
standard-library-first CLIs that run offline:
- propagate_uncertainty.py: GUM framework and Monte Carlo on the same
model, with the JCGM 101 clause 8 linearization check
- uncertainty_budget.py: components stated the way certificates state
them, Welch-Satterthwaite effective dof, coverage factor from t
- format_result.py: round the uncertainty first, then the value to the
same decimal place; plus-minus, concise, and ASCII forms
- convert_units.py: pint conversion including context-only relations,
with the uncertainty carried through the local derivative
- audit_units.py: static scan for silent unit and uncertainty defects
(UNIT001-004, UNC001-004, CONST001) with suppression directives
- check_plausibility.py: 14 dimensionless groups, 8 characteristic
scales, and 22 cited magnitude bands, each dimensionality-checked
before any number is reported
Measurement models are parsed to an AST and reduced by an explicit walk;
nothing is compiled or executed. Physical constants come from
scipy.constants at run time rather than from literals.
Tests in tests/uncertainty-and-units/ (85 cases) verify the metrology
against published values and assert every bundled script passes the
skill's own auditor with no findings.
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