Agent skill
instrument-data-allotrope-validation
Sub-skill of instrument-data-allotrope: Validation.
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/science/bio-research/instrument-data-allotrope/validation
SKILL.md
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 # Compare to reference
python scripts/validate_asm.py output.json --strict # Treat warnings as errors
Validation Rules:
- Based on Allotrope ASM specification (December 2024)
- Last updated: 2026-01-07
- Source: https://gitlab.com/allotrope-public/asm
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)
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