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Sub-skill of orcaflex-monolithic-to-modular: Significance Levels (+2).
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
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想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
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基于 SOC 职业分类
| name | orcaflex-monolithic-to-modular-significance-levels |
| description | Sub-skill of orcaflex-monolithic-to-modular: Significance Levels (+2). |
| version | 2.0.0 |
| category | engineering |
| type | reference |
| scripts_exempt | true |
| 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 |
# 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/
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