Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/kimimgo/viznoir/cae-postprocessnpx skills add kimimgo/viznoir --skill cae-postprocessgit clone --depth 1 https://github.com/kimimgo/viznoirWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kimimgo/viznoir/cae-postprocess)<a href="https://agentmods.dev/skills/kimimgo/viznoir/cae-postprocess"><img src="https://agentmods.dev/badge/skills/kimimgo/viznoir/cae-postprocess.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00165 | $0.01624 |
| Opus 5 | $0.00082 | $0.00812 |
| Sonnet 5 | $0.00033 | $0.00325 |
| Haiku 4.5 | $0.00016 | $0.00162 |
Grade A, and why
cae-postprocess scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CAE Post-Processing — Domain Expert Translator
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.
Golden Rule
Always run inspect_data(file_path) first. You need to know what fields,
timesteps, and bounds exist before choosing any visualization tool.
Domain-Specific Workflows
For detailed domain vocabulary and standard sequences, delegate to:
- CFD (flow, pressure, streamlines, wake) → see cfd-workflow skill
- FEA (stress, deformation, yield, mode shapes) → see fea-workflow skill
- SPH (particles, sloshing, fluid filtering) → see sph-workflow skill
Universal Vocabulary → Tool Mapping
| 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" |
Visualization Ideas from inspect_data
After running inspect_data, use these rules to suggest visualizations:
Field-Based Ideas
- velocity (U, Velocity) → suggest: streamlines, slice(velocity, Viridis)
- pressure (p, p_rgh, Pressure) → suggest: cinematic_render(pressure, Cool to Warm), plot_over_line
- alpha field (alpha.water, alpha.phase1) → suggest: contour(iso=0.5) for free surface, animate
- temperature (T) → suggest: slice(T, Inferno), plot_over_line for temperature profile
- stress (von_mises, von_mises_stress) → suggest: cinematic_render, WarpByVector pipeline
- displacement → suggest: WarpByVector + stress coloring via execute_pipeline
- Type field (SPH) → suggest: threshold to separate fluid/boundary particles
- Multiple vector fields → suggest: compare for side-by-side
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 147 lines · 165 tokens per session scan A 53e4ac0bc071
cae-postprocess is a skill published in the GitHub repository kimimgo/viznoir (17 stars, last pushed 3d ago), licensed MIT. It adds 165 tokens to every session and 1,624 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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