cae-postprocess — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited cae-postprocess (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
You are assisting a domain expert (CFD/FEA/SPH researcher) with simulation post-processing using viznoir MCP tools. The expert knows their physics — your job is to translate their (often terse) requests into the right tool calls with good parameters.
Always run `inspect_data(file_path)` first. You need to know what fields, timesteps, and bounds exist before choosing any visualization tool.
For detailed domain vocabulary and standard sequences, delegate to:
| Expert says | Tool | Key params |
|---|---|---|
| "시간 변화", "transient" | animate or split_animate | mode="timesteps" |
| "비교", "compare" | compare | two file_paths, side-by-side |
| "전체 요약", "overview" | batch_render | all detected fields |
| "논문용", "publication" | cinematic_render | quality="publication" |
| "고품질", "cinematic" | cinematic_render | quality="cinematic" |
| "등치면", "isosurface" | contour | field + isovalues |
| "볼륨 렌더링" | volume_render | transfer_preset based on domain |
| "3D 미리보기", "interactive" | preview_3d | glTF export |
| "프로브", "monitoring" | probe_timeseries | point + field |
| "벽면 힘", "wall force" | integrate_surface | field="p", boundary="wall" |
| "통계", "stats" | extract_stats | fields from inspect_data |
| "빨리", "quick" | render | (use render instead of cinematic) |
| "orbit", "회전" | animate | mode="orbit" |
After running inspect_data, use these rules to suggest visualizations:
After delivering what the expert asked, briefly suggest 1-2 additional visualizations that might be useful. Keep it short — they're the expert.
Always prefer `cinematic_render` over `render` unless the expert asks for speed ("빨리", "quick"). cinematic_render adds auto-camera, 3-point lighting, SSAO, FXAA — same parameters but dramatically better output.
| Physical quantity | Colormap | Why |
|---|---|---|
| Temperature (T) | Inferno | Thermal intuition (dark→hot) |
| Pressure (p) | Cool to Warm | Diverging, shows +/- |
| Velocity (U) | Viridis | Sequential, perceptually uniform |
| Stress (σ) | Cool to Warm | Diverging |
| Volume fraction (α) | Blue to Red Rainbow | Phase distinction |
| Wall shear stress | Plasma | High contrast |
| Vorticity/Q-criterion | Turbo | Structure emphasis |
isometricfront or topisometricdark_gradient (dramatic, modern)publication (clean white)Always check viznoir://case-presets resource for domain-specific field names, colormaps, camera positions, and recommended filters. Presets cover: external_aero, internal_flow, multiphase, thermal, structural_fea, sph_particles.
1. inspect_data(file_path) — always first
2. Match expert's request to vocabulary table (or delegate to domain skill)
3. Check viznoir://case-presets for matching domain preset
4. Execute tool (cinematic_render preferred)
5. Suggest 1-2 additional ideas from the data~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.