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 ladla90077-web/solidworks-mcp --skill generate-quality-meshgit clone --depth 1 https://github.com/ladla90077-web/solidworks-mcpWrote 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/ladla90077-web/solidworks-mcp/generate-quality-mesh)<a href="https://agentmods.dev/skills/ladla90077-web/solidworks-mcp/generate-quality-mesh"><img src="https://agentmods.dev/badge/skills/ladla90077-web/solidworks-mcp/generate-quality-mesh/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/ladla90077-web/solidworks-mcp/generate-quality-mesh"><img src="https://agentmods.dev/badge/skills/ladla90077-web/solidworks-mcp/generate-quality-mesh.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 | $0.00017 | $0.01275 |
| Opus 5 | $0.00009 | $0.00638 |
| Sonnet 5 | $0.00003 | $0.00255 |
| Haiku 4.5 | $0.00002 | $0.00128 |
Grade A, and why
Generate Quality Mesh 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.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Quality Mesh
What You're Actually Doing
You're creating a mesh that's good enough for the analysis - accurate where it matters, efficient where it doesn't. A good mesh isn't the finest mesh possible; it's one that gives reliable results without wasting computational resources.
Mesh quality is always relative to what you're solving. A mesh that's perfect for a thermal analysis might be completely inadequate for stress concentrations. The question isn't "is this mesh good?" but "is this mesh good enough for this specific analysis?"
When to Check In (And Why)
1. After Understanding the Requirements
Before meshing, understand:
- What analysis will this mesh support? (Static, modal, thermal, CFD, nonlinear...)
- Where are the critical regions? (Stress concentrations, contact zones, areas of interest)
- Are there accuracy requirements or element count constraints?
- Any geometric features that need attention? (Thin sections, fillets, small features)
Why this matters: A mesh for a linear static stress analysis needs refinement at fillets and notches. A mesh for a thermal analysis needs refinement at interfaces and boundaries. Meshing blind produces either waste or inaccuracy.
2. After Quality Verification Fails
If quality checks reveal issues, share before re-meshing:
- What failed and where
- Why it matters for this analysis
- What you'd change to fix it
Why this matters: Not all quality failures are equal. Poor aspect ratio far from critical regions might be acceptable. Poor aspect ratio at a stress concentration is a problem. The engineer should know what tradeoffs are being made.
3. When Facing Tradeoffs
Sometimes you can't have it all:
- Finer mesh = longer solve times
- Capturing small features = more elements
- Multiple critical regions competing for refinement budget
Why this matters: These are engineering decisions, not meshing decisions. The engineer needs to weigh accuracy vs. computational cost based on their timeline and requirements.
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 · 147 lines · 17 tokens per session scan A 993b7df337ba
Generate Quality Mesh is a skill published in the GitHub repository ladla90077-web/solidworks-mcp (3 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 1,275 once invoked, about $0.0001 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 2026-08-31.
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