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A CLI toolchain and AI agent infrastructure for CST Studio Suite. Provides 113 composable commands covering modeling, simulation, results reading, parameter optimization, and farfield export — with a uniform JSON contract interface and a built-in runtime guard layer that intercepts known CST pitfalls.
The project is also published as AI tool skills, but the toolchain itself is general-purpose: usable standalone, as a skill integration, or as a Python library for custom development.
| Category | Tools | Examples |
|---|---|---|
| Geometry Modeling | 42 | define-brick, define-cylinder, boolean-subtract, change-material, transform-shape |
| Project Operations | 25 | change-parameter, define-port, define-mesh, inspect-project, capture-3d-view |
| Results | 11 | get-1d-result, get-2d-result, export-run-results, list-run-ids, generate-report |
| Optimization | 11 | create-study, ask-study, tell-study, run-probe-phase, run-optimization-step |
| Session Management | 7 | cst-session-open, cst-session-close, cst-session-quit, create-blank-project, save-project |
| Farfield | 4 | export-farfield-grid, export-farfield-cut, inspect-farfield-monitors, inspect-model-view |
| Workspace | 4 | init-workspace, init-task, health-check, install-cst-libraries |
| Project Identity | 4 | verify-project-identity, infer-run-dir, wait-project-unlocked, list-open-projects |
| Audit | 3 | record-stage, update-status, stage-evidence |
| DOE | 2 | design-probes, analyze-probes |
| Run | 2 | prepare-run, get-run-context |
Every tool has a JSON Schema definition, validated input, and a uniform response format.
All commands share the same I/O contract:
- Input: JSON Schema validation, accepted via
--args-file <json>,--args-json, stdin, or direct flags - Output:
{status: "success"|"error", message?, ...}dict — zero exceptions - Audit trail: Every invocation is logged to
stages/andlogs/production_chain.md
- Atomic tools (113): single-step operations, callable independently.
- Pipelines: orchestrated multi-step workflows (
inspect-project,prepare-experiment,run-experiment).
Pipelines are provided as reference orchestrations — users are free to design their own workflow strategies using the atomic tools.
10+ runtime safety guards that intercept known CST pitfalls:
| Trap | Behavior | Protection |
|---|---|---|
| T2 | Simulation with stale parameters | Rejects with next_action guidance |
| T3 | Save after farfield export corrupts project | Forces save=False |
| T4 | Complex S11 data mistaken for dB | 20*log10(hypot(real,imag)) conversion |
| T5 | Cross-contaminated modeler/results sessions | Rejects cross-session operations |
| T8 | Abs(E) used as gain evidence | Rejects non-gain quantities |
| T13 | StoreDoubleParameter skips geometry rebuild |
Succeeds with warning |
Each trap carries cst_raw context and a next_action hint for automatic recovery.
⚠️ Guards recognize known patterns only. Complex workflows still require human review at critical checkpoints.
- Modeler session (COM read-write via
cst.interface): modeling, simulation, parameter changes - Results session (read-only via
cst.results): result extraction, S11/farfield export
Strictly isolated. Close the modeler session after simulation, then open a results session for data extraction.
Fully self-contained HTML/SVG/WebGL reports — zero external JS or CDN dependencies. Supports S11 multi-trace overlays, 3D farfield patterns, 2D heatmaps, iteration timelines, and convergence analysis.
The current 113 tools are not a ceiling. Any CST operation accessible through VBA or COM APIs can be extended as a CLI command through the development kit.
# 1. Write a TOML definition in devkit/tools/vba_defs/
# 2. Run the generator
uv run python devkit/tools/generate_tools.py
# 3. Validates on real CST
# 4. Register in CLIReference TOML definitions: devkit/tools/vba_defs/ (10 implementations).
Modify function signatures + synchronize JSON Schema. New parameters carry defaults for backward compatibility.
devkit/references/ contains: VBA official API reference (1890 lines), CST Python API reference (1377 lines), development workflow guide, and test system documentation.
Prerequisites: CST Studio Suite 2026, Python 3.13+, uv. See skills/cst-runtime-cli/references/setup_guide.md for full setup.
# Deploy to workspace (one-time)
python bootstrap.py --skill-path <skill-root>\scripts
uv run python -m cst_runtime health-check --auto-fix
# List all available tools
uv run python -m cst_runtime list-tools
# Inspect a project
uv run python -m cst_runtime inspect-project --project-path <project.cst>
# Compose your own workflow
uv run python -m cst_runtime change-parameter --project-path <p.cst> --name g --value 25.0
uv run python -m cst_runtime prepare-experiment --args-file <args.json>
uv run python -m cst_runtime run-experiment --args-file <args.json>
uv run python -m cst_runtime export-run-results --args-file <args.json>skills/cst-runtime-cli/tests/refs/ref_0/ref_0.cst — A quad-ridge horn antenna, 8-12 GHz, with a complete modeling history (737 lines of VBA). Used for validating tools and pipelines on real CST. No simulation results included — generated on first run or resolved from workspace cache.
Extract the release archive to your tool's skills directory:
| AI Tool | Path |
|---|---|
| OpenCode / Cursor / Claude Code | %USERPROFILE%\.config\opencode\skills\ (or equivalent) |
The extracted structure should include skills/cst-runtime-cli/ and skills/cst-runtime-optimization/.
git clone https://github.com/bbl21/cst-runtime-cli.git
cd cst-runtime-cli
python skills/cst-runtime-cli/scripts/bootstrap.py --skill-path skills/cst-runtime-cli/scripts
uv run python -m cst_runtime list-toolsfrom cst_runtime.core.session import open_project, close_project
from cst_runtime.core.results import get_1d_resultcst-runtime-cli/
├── devkit/ # Development toolkit
│ ├── references/ # VBA/CST API references, dev guide, test docs
│ └── tools/
│ ├── generate_tools.py # Code generator: TOML → Python
│ ├── vba_defs/ # TOML definitions (10 reference implementations)
│ └── generated/ # Generator output (git-ignored)
│
├── skills/
│ ├── cst-runtime-cli/ # Infrastructure skill
│ │ ├── SKILL.md # Agent execution manual
│ │ ├── scripts/
│ │ │ ├── bootstrap.py # Deployment bootstrap
│ │ │ ├── pyproject.toml # Package definition
│ │ │ └── cst_runtime/ # All source code
│ │ │ ├── cli/ # Dispatch layer (dispatch + pipeline orchestration)
│ │ │ ├── core/ # Core modules (session/modeling/simulation/results/farfield/gateway/audit/workspace, 20 modules)
│ │ │ ├── tools/ # Tool layer (10 modules, 113 commands)
│ │ │ ├── render/ # Self-contained HTML/SVG/WebGL reports
│ │ │ └── analysis/ # Farfield parsing and flatness analysis
│ │ ├── references/ # User documentation
│ │ └── tests/
│ │ ├── refs/ref_0/ # Reference project (quad-ridge horn, 8-12 GHz)
│ │ └── ... # Contract tests, architecture invariants, pipeline contracts
│ │
│ └── cst-runtime-optimization/ # Optimization skill (SKILL.md only, no code)
│ └── SKILL.md
│
└── docs/ # Design documents
MIT