# Orcaflex Monolithic To Modular Significance Levels

> Sub-skill of orcaflex-monolithic-to-modular: Significance Levels (+2).

- Skill: `vamseeachanta/orcaflex-monolithic-to-modular-significance-levels` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/orcaflex-monolithic-to-modular-significance-levels`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/orcaflex-monolithic-to-modular-significance-levels/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/orcaflex-monolithic-to-modular-significance-levels

---


# Significance Levels (+2)

## Significance Levels


| Level | Meaning | Action |
|-------|---------|--------|
| `match` | Values identical (within tolerance) | None |
| `cosmetic` | < 0.01% numeric diff | Safe to ignore |
| `minor` | 0.01-1% numeric diff | Review if important |
| `significant` | > 1% numeric diff | Must investigate |
| `missing` | Present in mono, absent in mod | Fix extractor/builder |
| `extra` | Absent in mono, present in mod | Fix builder defaults |
| `type_mismatch` | Different types (bool vs string) | Fix type handling |


## Running Semantic Validation


```bash
# Single model
uv run python scripts/semantic_validate.py model.yml modular_dir/

# With HTML report
uv run python scripts/semantic_validate.py model.yml modular_dir/ --html report.html

# Batch mode
uv run python scripts/semantic_validate.py model.yml modular_dir/ --batch output_dir/
```


## Integrated in Benchmark


The benchmark pipeline (`scripts/benchmark_model_library.py`) runs semantic validation as a pre-statics gate:
```
.dat → YAML → extract → spec → generate modular → [SEMANTIC CHECK] → [statics] → compare
```