| name | instrument-data-allotrope-validation |
| description | Sub-skill of instrument-data-allotrope: Validation. |
| version | 1.0.0 |
| category | science |
| type | reference |
| scripts_exempt | true |
Validation
Validation
Always validate ASM output before delivering to the user:
python scripts/validate_asm.py output.json
python scripts/validate_asm.py output.json --reference known_good.json
python scripts/validate_asm.py output.json --strict
Validation Rules:
Soft Validation Approach:
Unknown techniques, units, or sample roles generate warnings (not errors) to allow for forward compatibility. If Allotrope adds new values after December 2024, the validator won't block them--it will flag them for manual verification. Use --strict mode to treat warnings as errors if you need stricter validation.
What it checks:
- Correct technique selection (e.g., multi-analyte profiling vs plate reader)
- Field naming conventions (space-separated, not hyphenated)
- Calculated data has traceability (
data-source-aggregate-document)
- Unique identifiers exist for measurements and calculated values
- Required metadata present
- Valid units and sample roles (with soft validation for unknown values)
