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 iowarp/clio-kit --skill simulation-visualizegit clone --depth 1 https://github.com/iowarp/clio-kitWrote 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/iowarp/clio-kit/simulation-visualize)<a href="https://agentmods.dev/skills/iowarp/clio-kit/simulation-visualize"><img src="https://agentmods.dev/badge/skills/iowarp/clio-kit/simulation-visualize/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/iowarp/clio-kit/simulation-visualize"><img src="https://agentmods.dev/badge/skills/iowarp/clio-kit/simulation-visualize.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00043 | $0.01251 |
| Opus 5.5 | $0.00017 | $0.00500 |
| Sonnet 5.5 | $0.00009 | $0.00250 |
| Haiku 4.5 | $0.00004 | $0.00125 |
Grade A, and why
simulation-visualize 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 9d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Simulation Visualization
ParaView is a pipeline with an active source. Almost every tool acts on whichever object is active, not on one you name. Losing track of that is how you end up colouring the wrong object or screenshotting an empty view.
The active source is state you must track
Every filter you create becomes the new active source. So a slice of an isosurface of the data is what you get if you build them in that order without resetting.
clio-paraview:get_pipeline— what exists and how it is connectedclio-paraview:get_active_source_names_by_type— the names you can selectclio-paraview:set_active_source— go back to a named object
When a filter produces nothing, check what was active before assuming the filter failed.
Steps
1. Load. clio-paraview:load_scientific_data — VTK, EXODUS, CSV, RAW, BP5,
with format detection. This call also checks the configured server's backend.
The MCP server has its own Python environment: a failed import paraview in
the agent's shell does not establish that the server is unavailable. Use the
MCP call's actual result and report its error if it fails.
2. Find out what fields exist. clio-paraview:get_available_arrays. Do this
before choosing a filter. Array names are exact; guessing one is the most common
failure, and the shape matters — an isosurface needs a scalar, streamlines need a
vector.
3. Find a value worth contouring. clio-paraview:get_histogram on the field.
An isovalue picked without looking is usually outside the data range, and
produces an empty surface with no error.
Histogram bin centers are not the field's exact minimum and maximum. Report
them as bin centers; obtain actual extrema before claiming an exact range.
4. Apply the filter that matches the question.
| Want | Tool | Needs |
|---|---|---|
| Surface at a constant value | generate_isosurface |
scalar field + isovalue |
| Cut plane through the volume | create_data_slice |
plane position |
| Flow paths | generate_flow_streamlines |
vector field |
| Values along a line | plot_over_line |
two points |
| Displacement by a vector | warp_by_vector |
vector field |
| Whole volume | configure_volume_display |
+ opacity function |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 115 lines · 43 tokens per session scan A 4a1afee6fb0e
simulation-visualize is a skill published in the GitHub repository iowarp/clio-kit (30 stars, last pushed 8d ago), licensed BSD-3-Clause. It adds 43 tokens to every session and 1,251 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-08.
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