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 agentmods add agents/andrewbartels1/solidworksmcp-python/sample-models-guidegit clone --depth 1 https://github.com/andrewbartels1/SolidworksMCP-pythonWhat 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 | $0.00000 | $0.03141 |
| Opus 5 | $0.00000 | $0.01571 |
| Sonnet 5 | $0.00000 | $0.00628 |
| Haiku 4.5 | $0.00000 | $0.00314 |
Grade A, and why
sample-models-guide 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 yesterday.
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 — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sample Models Guide
This guide describes the SolidWorks 2026 learn samples shipped with SolidWorks and explains which MCP tools and prompting strategies best recreate each part from scratch. Reference files live at:
C:\Users\Public\Documents\SOLIDWORKS\SOLIDWORKS 2026\samples\learn\
Sample Path Detection (Integration Harness)
The integration harness now auto-discovers sample paths in this order:
SOLIDWORKS_MCP_SAMPLE_MODELS_DIR(explicit override)C:\Users\Public\Documents\SOLIDWORKS\SOLIDWORKS 2026\samples\learnC:\Users\Public\Documents\SOLIDWORKS\SOLIDWORKS 2025\samples\learnC:\Users\Public\Documents\SOLIDWORKS\SOLIDWORKS 2024\samples\learnC:\Users\Public\Documents\SOLIDWORKS\SOLIDWORKS 2023\samples\learnC:\Users\Public\Documents\SOLIDWORKS\SOLIDWORKS 2022\samples\learn
Set the override for non-standard installations:
$env:SOLIDWORKS_MCP_SAMPLE_MODELS_DIR = "D:\CAD\SOLIDWORKS Samples\learn"
pytest tests/test_all_endpoints_harness.py -k "TestLevelCRealCOM and c09" -v
Complexity Tiers
The four tiers determine which MCP tools are needed. Choose your starting point based on how many features the model requires:
flowchart LR
A(["Start here"])
T1(["Tier 1<br/>Simple"])
T2(["Tier 2<br/>Intermediate"])
T3(["Tier 3<br/>Advanced"])
T4(["Tier 4<br/>Assembly"])
A --> T1 --> T2 --> T3 --> T4
| Tier | Description | Key Tools |
|---|---|---|
| 1 – Simple | Single sketch + one feature | create_sketch, add_rectangle/circle, create_extrusion/revolve |
| 2 – Intermediate | 2–4 sketches, multiple features, fillets | + set_dimension, add_sketch_constraint, create_extrusion (multi-step) |
| 3 – Advanced | Lofts, sweeps, multi-body, sheet metal | + generate_vba_part_modeling, execute_macro |
| 4 – Assembly | Multiple parts mated together | create_assembly, load_part, generate_vba_assembly_insert |
Baseball Bat — Tier 1 (Revolve)
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.
- yesterday First seen · 308 lines · 0 tokens per session scan A d04c04eff70f
sample-models-guide is an agent published in the GitHub repository andrewbartels1/SolidworksMCP-python (65 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,141 tokens. 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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