Agent skill
orcaflex-spec-audit
Audit, classify, and score OrcaFlex spec.yml files across the model library for quality, schema validity, and structure type categorization.
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/engineering/marine-offshore/orcaflex/spec-audit
SKILL.md
OrcaFlex Spec Library Audit
Audit and classify all spec.yml files in the OrcaFlex library. Scores quality (0-100), validates against ProjectInputSpec schema, and infers structural category from path and content signals.
Usage
# Basic audit (YAML output)
uv run python scripts/audit_spec_library.py
# With HTML report
uv run python scripts/audit_spec_library.py --html benchmark_output/spec_audit.html
# Custom root directory
uv run python scripts/audit_spec_library.py --root docs/modules/orcaflex/library/templates
Quality Scoring (0-100)
| Criterion | Points | Check |
|---|---|---|
| Schema valid | +30 | ProjectInputSpec(**data) passes |
| Has comments | +20 | Lines starting with # |
| Meaningful name | +15 | Not temp/single-char/digits-only |
| Meaningful description | +10 | Not "Extracted from...", not "generic", len >= 10 |
| No raw_properties | +15 | environment.raw_properties absent |
| Compact file | +10 | < 1000 lines |
Category Inference
Priority order:
- Schema key:
riser:key -> riser,pipeline:key -> pipeline - Path parts:
tier2_fast-> riser,jumper-> jumper,training-> training - Model library prefix:
a=riser,b=drilling,c=mooring,d-g=installation,h=heavy_lift,k=wind_turbine,l=vessel,m=pipeline - Metadata fallback:
metadata.structurefield value
Output
YAML (audit_results.yaml)
summary:
total: 81
avg_quality: 53.0
schema_valid_count: 73
by_category: {riser: 19, installation: 18, mooring: 10, ...}
specs:
- path: library/templates/riser_catenary/spec.yml
name: riser_catenary_template
quality_score: 100
schema_valid: true
category: riser
model_type: riser
line_count: 108
HTML Report
Single-page report with summary cards, per-category tables, color-coded quality scores (green >= 70, yellow 40-69, red < 40).
Template Library
6 curated templates at docs/modules/orcaflex/library/templates/:
| Template | Source | Lines |
|---|---|---|
| riser_catenary | tier2_fast/a01_catenary_riser | 108 |
| riser_lazy_wave | tier2_fast/a01_lazy_wave_riser | 188 |
| pipeline_installation | pipeline/.../24in_pipeline | 101 |
| mooring_buoy | model_library/c07_metocean_buoy | 763 |
| installation_subsea | installation/mudmat | 196 |
| installation_pull_in | model_library/d02_pull_in_analysis | 645 |
All templates score 100/100 quality and pass schema validation.
References
- Audit script:
scripts/audit_spec_library.py - Tests:
tests/scripts/test_audit_spec_library.py - Template catalog:
docs/modules/orcaflex/library/templates/catalog.yaml - Audit results:
docs/modules/orcaflex/library/templates/audit_results.yaml - Schema:
src/digitalmodel/solvers/orcaflex/modular_generator/schema/root.py
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