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/worked-examplesgit 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 | $0.01615 |
| Opus 5 | $0.00000 | $0.00807 |
| Sonnet 5 | $0.00000 | $0.00323 |
| Haiku 4.5 | $0.00000 | $0.00161 |
Grade A, and why
worked-examples 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 — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Worked Examples: SolidWorks MCP + Agent Workflow
This page shows three practical reconstruction examples using the same inspect -> classify -> delegate loop:
- Read the original model state.
- Classify the feature family before writing geometry.
- Build with direct MCP tools only when the family supports it.
- Compare against mass properties and visual output.
- Reflect and tighten the next prompt.
Example 1: Paper Airplane (Feature-Tree Audit)
Source file: C:\Users\Public\Documents\SOLIDWORKS\SOLIDWORKS 2026\samples\learn\Paper Airplane.SLDPRT
Example 1 Stage 1: Read
open_model(file_path="...\\Paper Airplane.SLDPRT")
get_model_info()
list_features(include_suppressed=True)
get_mass_properties()
classify_feature_tree(include_suppressed=True)
Observed result:
| Field | Value |
|---|---|
| Family | sheet_metal |
| Recommended workflow | vba-sheet-metal |
| Confidence | high |
| Why | Feature tree contains sheet-metal markers and bend/fold style operations |
Example 1 Stage 2: Plan
Use the feature tree and classifier output as the source of truth.
Do not simplify this into a silhouette-only extrusion.
Generate a dependency-preserving sheet-metal reconstruction strategy and flag VBA boundaries.
Example 1 Stage 3: Build
Use a delegated plan that preserves:
1. Base feature
2. Downstream bend/flange dependencies
3. Any unfold/fold state transitions
Example 1 Stage 4: Compare
| Check | Original | Rebuild target |
|---|---|---|
| Family | sheet_metal |
sheet_metal |
| Dependency order | Base + bends/folds | Same pattern |
| Validation signal | Feature tree first | Mass + image second |
Example 1 Stage 5: Reflect
| Worked | Change next time |
|---|---|
| Classifier blocked wrong direct extrude path | Always classify before geometry planning |
| Audit exposed true root feature | Treat silhouette as secondary evidence |
Example 2: Baseball Bat (Classifier-Backed 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 · 227 lines · 0 tokens per session scan A cf561967cea6
worked-examples 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 1,615 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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