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 skills add kimimgo/viznoir --skill sph-workflowgit 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/sph-workflow)<a href="https://agentmods.dev/skills/kimimgo/viznoir/sph-workflow"><img src="https://agentmods.dev/badge/skills/kimimgo/viznoir/sph-workflow/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kimimgo/viznoir/sph-workflow"><img src="https://agentmods.dev/badge/skills/kimimgo/viznoir/sph-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00091 | $0.00425 |
| Opus 5 | $0.00046 | $0.00212 |
| Sonnet 5 | $0.00018 | $0.00085 |
| Haiku 4.5 | $0.00009 | $0.00042 |
Grade A, and why
sph-workflow 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 8d 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.
What it actually says
SPH Post-Processing Workflow
Standard Sequence
inspect_data→ identify Velocity, Pressure, Type fields, timestep countcinematic_render(field="Velocity", colormap="Viridis")→ particle overviewexecute_pipelinewith Threshold(Type, 0, 0) → fluid-only particlesanimate(mode="timesteps")→ time evolutionpv_isosurface→ smooth surface mesh from particles (if needed)
Fluid-Only Filtering
DualSPHysics uses Type field: 0=fluid, >0=boundary. To show fluid only:
{
"source": {"file": "FILE_PATH"},
"pipeline": [
{"filter": "Threshold", "params": {"field": "Type", "range": [0, 0]}}
],
"output": {"type": "image", "render": {"field": "Velocity", "colormap": "Viridis"}}
}
Vocabulary → Tool Mapping
| Expert says | Tool | Params |
|---|---|---|
| particles, 입자 | render or cinematic_render | field="Velocity" |
| fluid only | execute_pipeline | Threshold(Type, 0, 0) |
| sloshing, 슬로싱 | animate | mode="timesteps", field="Velocity" |
| wave, 파도 | animate | mode="timesteps" |
| isosurface mesh | pv_isosurface | bi4_dir, output_dir |
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.
- 8d ago First seen · 40 lines · 91 tokens per session scan A 2209924f6cf4
sph-workflow is a skill published in the GitHub repository kimimgo/viznoir (17 stars, last pushed yesterday), licensed MIT. It adds 91 tokens to every session and 425 once invoked, about $0.0005 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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