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 fea-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/fea-workflow)<a href="https://agentmods.dev/skills/kimimgo/viznoir/fea-workflow"><img src="https://agentmods.dev/badge/skills/kimimgo/viznoir/fea-workflow.svg" alt="Measured on agentmods" 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 | $0.00081 | $0.00397 |
| Opus 5 | $0.00041 | $0.00198 |
| Sonnet 5 | $0.00016 | $0.00079 |
| Haiku 4.5 | $0.00008 | $0.00040 |
Grade A, and why
fea-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 7d 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
FEA Post-Processing Workflow
Standard Sequence
inspect_data→ identify displacement, stress, strain fieldscinematic_render(field="von_mises_stress", colormap="Cool to Warm")→ stress overviewexecute_pipelinewith WarpByVector → deformation visualizationexecute_pipelinewith Threshold(von_mises > yield) → critical regionsextract_stats→ max stress, max displacement values
WarpByVector Pattern
{
"source": {"file": "FILE_PATH"},
"pipeline": [
{"filter": "WarpByVector", "params": {"vector": "displacement", "scale_factor": 10.0}}
],
"output": {"type": "image", "render": {"field": "von_mises_stress", "colormap": "Cool to Warm"}}
}
Scale factor: 10-100x for small deformations, 1x for large.
Vocabulary → Tool Mapping
| Expert says | Tool | Params |
|---|---|---|
| stress, 응력 집중 | cinematic_render | field="von_mises_stress" |
| deformation, 변형 | execute_pipeline | WarpByVector + render |
| yield exceeded, 항복 | execute_pipeline | Threshold(von_mises > yield_stress) |
| mode shape | cinematic_render | per-timestep displacement |
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.
- 7d ago First seen · 39 lines · 81 tokens per session scan A d5947051b0cb
fea-workflow is a skill published in the GitHub repository kimimgo/viznoir (17 stars, last pushed today), licensed MIT. It adds 81 tokens to every session and 397 once invoked, about $0.0004 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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