Matlab Design Pcb FilterSAFE
The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
Overview
The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
58967e6f32b5OBSERVED · 2026-10-14What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: matlab-design-pcb-filter description: "Bandpass, lowpass, bandstop filter design — hairpin, coupled-line, combline, stub, SIW for frequency selection and harmonic rejection. TRIGGER: user asks to design, create, or analyze any RF filter (bandpass, lowpass, highpass, bandstop, hairpin, coupled-line, combline, stub, SIW). Invoke BEFORE writing code — filter class names differ from what you would guess. SKIP: EM simulation/S-parameter extraction of an existing filter (use matlab-analyze-em), general PCB layout assembly (use matlab-assemble-pcb-layout), material/stackup setup only (use matlab-manage-pcb-material), optimization sweeps (use matlab-optimize-pcb-design)." license: https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md metadata: author: MathWorks version: "1.0" --- # Designing RF Filters ## When to Use - Designing bandpass filters (coupled-line, hairpin, open-loop, combline, interdigital, SIW) - Designing lowpass filters (stepped-impedance) - Designing bandstop or notch filters (spurline, stub-based) - Extracting coupling matrices from measured S-parameter data (measuredFilter) - Selecting a filter topology for a given bandwidth, selectivity, or size requirement ## When NOT to Use - Designing transmission lines for impedance control — use `matlab-design-pcb-transmission-line` - Designing couplers or splitters — use `matlab-design-pcb-coupler` - Designing passive components (inductors, capacitors, baluns) — use `matlab-design-pcb-passive` - Setting up substrate or conductor materials — use `matlab-manage-pcb-material` - Optimizing filter dimensions after design — use `matlab-optimize-pcb-design` ## Typical Workflow 1. **Before:** `matlab-manage-pcb-material` — set up substrate and conductor 2. **This skill:** Design the filter (catalog object or custom geometry) 3. **Check mesh/memory:** `memoryEstimate(obj, fc, 'RetainMesh', true)` — inspect auto-mesh density before committing to a full solve 4. **After:** `matlab-analyze-em` — validate S-parameters → `matlab-optimize-pcb-design` — tune dimensions → `matlab-write-pcb-layout` — export Gerber ## Quick Reference — Filter Selection | Filter Object | Type | Poles | Best For | |---------------|------|-------|----------| | `filterCoupledLine` | Bandpass | 2–8 | General microstrip BPF | | `filterHairpin` | Bandpass | 2–8 | Compact BPF, folded resonators | | `filterOpenLoop` | Bandpass | 4/6/8 | Compact quasi-elliptic | | `filterCombline` | Bandpass | 2–6 | Narrow-band, high-Q | | `filterInterdigital` | Bandpass | 2–8 | Wideband, good stopband | | `filterStepImpedanceLowPass` | Lowpass | 3–9 | Distributed LPF | | `filterStub` | LP/HP/BS | N stubs | Flexible stub topology | | `filterSpurline` | Bandstop | 1–2 | Compact notch filter | | `SIWFilter` | Bandpass | 2–6 | High-Q waveguide-in-PCB | | `measuredFilter` | Bandpass | N | Model extraction from measurements | ## Bandpass Filters ### Coupled-Line Filter ```matlab f = filterCoupledLine; f = design(filterCoupledLine, 3e9); % Design at 3 GHz show(f); sp = sparameters(f, linspace(1e9, 5e9, 101), 'SweepOption', 'interp'); rfplot(sp); ``` Key properties: `FilterOrder`, `CoupledLineLength`, `CoupledLineWidth`, `CoupledLineSpacing`, `PortLineLength`, `PortLineWidth`. ### Hairpin Filter Folded coupled-line resonators for compact size: ```matlab f = design(filterHairpin, 3e9); show(f); memoryEstimate(f, 3e9, 'RetainMesh', true); % Check mesh density before solving sp = sparameters(f, linspace(1e9, 5e9, 101), 'SweepOption', 'interp'); rfplot(sp); ``` Key properties: `FilterOrder`, `CoupledLineLength`, `CoupledLineWidth`, `CoupledLineSpacing`, `PortLineLength`, `PortLineWidth`, `Spacing`, `ResonatorOffset`, `FeedOffset`. ### Chebyshev Response Pass `FilterType` and `RippleFactor` to `design()` for equiripple passband response: ```matlab f = design(filterHairpin, 1.8e9, FBW=10, FilterType='Chebyshev', RippleFactor=0.5); ``` `FilterType` options: `'Butterworth'` (default), `'Chebyshev'`. `FBW` sets fractional bandwidth (%). `RippleFactor` sets passband ripple in dB (default 0.5) — only applies to Chebyshev. ### Fifth-Order Hairpin ```matlab f = filterHairpin; f.FilterOrder = 5; f = design(f, 2.4e9); show(f); ``` ### Open-Loop Filter Quasi-elliptic response with cross-coupling: ```matlab f = filterOpenLoop; f.NumPoles = 6; f.FeedOffset = 0.5e-3; show(f); sp = sparameters(f, linspace(1e9, 5e9, 101), 'SweepOption', 'interp'); rfplot(sp); ``` **Key Properties:** `NumPoles` (4/6/8), `ResonatorLength`, `ResonatorWidth`, `SplitGap`, `GapHorizontal`, `GapVertical`, `FeedOffset`, `CoupledResonatorGap`, `QuadrupletGap`, `QuadrupletOffset`. ### Combline Filter Short-circuited resonators, excellent for narrow-band. **Note:** `filterCombline` does not have a `design` function — set properties manually: ```matlab f = filterCombline; f.FilterOrder = 3; f.Height = 1.6e-3; show(f); ``` **Key Properties:** `FilterOrder`, `ResonatorLength` (scalar or vector), `ResonatorWidth`, `ResonatorSpacing` (scalar or vector), `ResonatorOffset`, `FeedOffset`, `Capacitor` (loading capacitance — distinctive to combline). ### Interdigital Filter Alternating short-circuited resonators, wideband. **Note:** `filterInterdigital` does not have a `design` function — set properties manually: ```matlab f = filterInterdigital; f.FilterOrder = 4; f.Height = 1.6e-3; show(f); sp = sparameters(f, linspace(3e9, 7e9, 101), 'SweepOption', 'interp'); rfplot(sp); ``` **Key Properties:** `FilterOrder`, `ResonatorLength` (scalar or vector), `ResonatorWidth` (scalar or vector), `ResonatorSpacing` (scalar or vector), `ResonatorOffset`, `ViaDiameter` (scalar or vector — distinctive to interdigital), `FeedOffset`, `IsShielded`, `Connector`. ## Lowpass Filters ### Stepped-Impedance Lowpass ```matlab f = filterStepImpedanceLowPass; f = design(filterStepImpedanceLowPass, 2.5e9); show(f); sp = sparameters(f, linspace(0.1e9, 5e9, 101), 'SweepOption', 'interp'); rfplot(sp); ``` Key properti
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
58967e6f32b5full audit observations/trust-audit/skill/matlab__matlab-design-pcb-filter.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-14 | 58967e6f32b5 | SAFE | B | 89 | first audit |
Questions
What does the Matlab Design Pcb Filter skill do?
The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
Is Matlab Design Pcb Filter safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Matlab Design Pcb Filter access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (58967e6f32b5), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.