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 ansys-mechanical-evidence-structuralgit 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/ansys-mechanical-evidence-structural)<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/ansys-mechanical-evidence-structural"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/ansys-mechanical-evidence-structural/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/ansys-mechanical-evidence-structural"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/ansys-mechanical-evidence-structural.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 | $0.00094 | $0.00508 |
| Opus 5 | $0.00047 | $0.00254 |
| Sonnet 5 | $0.00019 | $0.00102 |
| Haiku 4.5 | $0.00009 | $0.00051 |
Grade A, and why
ansys-mechanical-evidence-structural 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 11d 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
Ansys Mechanical Evidence Structural
Treat Mechanical as its own solver module. Workbench is an orchestration route, not proof that the Mechanical analysis solved.
Start
ai-cae-toolbox context-scope --solver ansys-mechanical
ai-cae-toolbox bridge-plan --solver ansys-mechanical --objective "<objective>"
ai-cae-toolbox create-run --solver ansys-mechanical --case <case-name> --objective "<objective>"
If MCP is available, prefer:
mechanical_check_installationmechanical_run_workbench_journal_filemechanical_run_python_controller_filemechanical_validate_result_summary_file
Choose One Control Route
- Use
RunWB2.exe -B -R <journal.wbjn>for project-level orchestration. - Use Mechanical Scripting/ACT with
ExtAPIfor model-tree operations. - Use PyMechanical gRPC for an external Python controller and explicit session lifecycle.
Record the selected route and do not let two controllers own the same session.
Model and Solve
Audit units, geometry scale, materials, contacts, joints, loads, constraints, large-deflection setting, solver controls, result requests, and mesh controls. Use stable names for bodies, named selections, contacts, loads, and results.
Before claiming success, read
references/acceptance-gates.md. A .mechdat,
Workbench project, or result PNG alone is insufficient.
Finish
Export .mechdat or .wbpj, file.rst, solve.out, mesh metrics, load and
reaction data, result CSV/JSON, PNG images, and report.md. State every
approximation such as bonded contacts, suppressed bodies, linear materials, or
disabled large deformation.
ai-cae-toolbox scan-evidence <run-dir>
ai-cae-toolbox generate-report <run-dir>
What ships with it
2 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.
- 11d ago First seen · 55 lines · 94 tokens per session scan A f94a1b02f54a
ansys-mechanical-evidence-structural is a skill published in the GitHub repository Cai-aa/CAE-Agent-Hub (877 stars, last pushed 5d ago), licensed MIT. It adds 94 tokens to every session and 508 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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