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 Cai-aa/CAE-Agent-Hub --skill run-fluent-autoclavegit clone --depth 1 https://github.com/Cai-aa/CAE-Agent-HubWrote 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/cai-aa/cae-agent-hub/run-fluent-autoclave)<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/run-fluent-autoclave"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/run-fluent-autoclave/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/cai-aa/cae-agent-hub/run-fluent-autoclave"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/run-fluent-autoclave.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 | $0.00102 | $0.00793 |
| Opus 5 | $0.00051 | $0.00396 |
| Sonnet 5 | $0.00020 | $0.00159 |
| Haiku 4.5 | $0.00010 | $0.00079 |
Grade A, and why
run-fluent-autoclave 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 12d 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run Fluent Autoclave
Reproduce the validated open autoclave workflow while preserving geometry-specific judgment and numerical evidence.
Workflow
- Detect Fluent before launching it. Confirm
fluent.exe, PyFluent, version, and job directory. - Inspect the geometry and existing project files. Reuse a valid STEP/fluid domain instead of rebuilding geometry.
- Read references/paper-case.md before applying the Bohne-style boundary conditions.
- Read references/mcp-workflow.md before controlling Fluent MCP or handling a Chinese path.
- Copy the bundled scripts into the job directory and adjust only the geometry-dependent constants.
- Generate and check the mesh. Reject unmatched boundary faces, non-manifold faces, invalid volumes, or a misidentified full-face inlet.
- Configure Fluent in small validated chunks. Print each model, material, and boundary state after setting it.
- Run one time step first. Continue only if the mesh is valid and residuals remain finite.
- Run the remaining steps asynchronously when possible, monitor stdout/stderr, and save case/data before post-processing.
- Extract mass flow, inlet/outlet average and maximum speeds, global maximum speed and location, pressure drop, temperature range, and the final residuals.
- Generate the vertical longitudinal mid-plane velocity contour and streamlines with outlet left and inlet/head right.
- Run
scripts/validate_results.pyon the final JSON. Do not call the result complete if conservation or provenance checks fail.
Required physical setup
- Use the annular clearance at the ellipsoidal head as the velocity inlet; never use the whole end face without verifying the geometry.
- Use a pressure outlet at the opposite duct.
- Keep vessel walls adiabatic and no-slip.
- Split exposed calorimeter faces into a separate fixed-temperature wall zone.
- Use the material properties and boundary values in
references/paper-case.mdwhen reproducing that case. - Treat the reference image peak velocity as an outcome, not a prescribed outlet value.
What ships with it
7 files 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.
- 12d ago First seen · 52 lines · 102 tokens per session scan A 3dd4f6213a2f
run-fluent-autoclave is a skill published in the GitHub repository Cai-aa/CAE-Agent-Hub (881 stars, last pushed today), licensed MIT. It adds 102 tokens to every session and 793 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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