A planning and execution step for analog and mixed-signal circuit simulations using SPICE-family tools. It covers operating points, sweeps, frequency response, transients, noise, process corners, and random mismatch tests.

Use it to test specifications such as gain, bandwidth, phase margin, PSRR, CMRR, noise, slew rate, settling time, and offset. It supports both analog-only and mixed-signal circuits with digital control.

It helps choose the simulations needed to check an analog design under different manufacturing conditions, temperatures, supplies, and device variations. It also helps investigate why a simulation result fails.

ams-sim — Skill for Claude Code by vibeic

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/vibeic/vibe-ic

agentmods

npx agentmods add skills/vibeic/vibe-ic/ams-sim

Made for: Claude Code.

Or install vibe-ic, the plugin that ships this one along with the rest of its 70 skills, 8 commands, 8 agents, 2 hooks, 1 MCP server.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/vibeic/vibe-ic/ams-sim/github.svg)](https://agentmods.dev/skills/vibeic/vibe-ic/ams-sim)

Your own site

<a href="https://agentmods.dev/skills/vibeic/vibe-ic/ams-sim"><img src="https://agentmods.dev/badge/skills/vibeic/vibe-ic/ams-sim/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/vibeic/vibe-ic/ams-sim"><img src="https://agentmods.dev/badge/skills/vibeic/vibe-ic/ams-sim.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,292 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

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	$0.00105	$0.01292
Opus 5	$0.00053	$0.00646
Sonnet 5	$0.00021	$0.00258
Haiku 4.5	$0.00011	$0.00129

Measured 9d ago against content hash 50b32bb9786c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ams-sim 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (tests/test_compliance.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

vibe-ic-marketplace/plugins/vibe-ic/skills/ams-sim/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AMS Sim

Analog blocks must be verified across process corners, temperature, voltage, and mismatch. This skill plans the testbench matrix, generates the simulator decks, and triages results.

When to use

After /analog-sizing produces a schematic
After /analog-layout + extraction (post-layout)
When mismatching is the suspected failure mode (Monte Carlo)
Mixed-signal co-simulation with a digital controller (ngspice + Verilog-A, or Spectre APS)

Inputs

Schematic / netlist (.sp, .cir, .scs)
Device models from PDK (.lib / .scs)
Specs to verify (gain, BW, PSRR, CMRR, noise, slew, settling, offset)
Corner definition (FF/SS/TT/FS/SF × temp × supply)
Monte Carlo N (typical 500–5000 runs)

Analysis matrix

Analysis	Purpose
`.op`	DC operating point, bias validation
`.dc`	Sweeps (supply, input, parameter)
`.ac`	Gain, bandwidth, phase margin
`.tran`	Settling, slew, large-signal
`.noise`	Input-referred noise, SNR
`.pss` / `.pac` / `.pnoise`	Periodic steady-state (for RF / SC circuits)
`.mc`	Monte Carlo mismatch + process

The spec → required-analysis-subset mapping in this table is a frozen lookup, enforced by programs/ams_analysis_select.py — do NOT pick the analysis set by hand (two agents would otherwise pick different / incomplete subsets for the same spec list). Run it on the block's spec.json (or the project dir to scan analog/*/spec.json) and use the emitted analyses set:

python3 programs/ams_analysis_select.py <block>/spec.json
# -> {"analyses": [".op", ".ac", ".tran", ".noise"], "mapping": [...]}

It always selects .op (bias validation) when ≥1 measurable spec is present, adds .mc whenever any spec declares a mismatch / σ / yield concern, and FAILs honestly (exit 1) when a spec carries no recognizable measurable metric. Agent judgment is only needed to override an ambiguous / custom spec key the table does not recognize.

Workflow

Pick the analysis subset — enforced by programs/ams_analysis_select.py (see Analysis matrix)
Build deck with corner + MC sweeps
Run (ngspice / Xyce / Spectre / HSPICE)
Extract measurements via .meas statements — generated by programs/analog_meas_from_spec_gen.py
Tabulate corners × MC yield vs spec — enforced by programs/corner_yield_vs_spec_check.py (re-derives per-corner / per-spec PASS/FAIL from spec.json min/max limits + reports the worst, smallest-margin corner) and programs/analog_corner_sweep_check.py (gates ≥9-corner PVT count + all-spec-pass). Do NOT hand-tabulate the yield table — quote these programs' verdicts.
Flag failing corners — the worst corner is the worst_corner field from corner_yield_vs_spec_check.py; PVT-coverage gaps are classified by programs/corner_coverage_audit.py. Propose sizing or layout changes (agent judgment).
Hand off to re-sizing loop

Read the full file on GitHub · 106 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

9d ago First seen · 106 lines · 105 tokens per session scan A 50b32bb9786c

Subscribe to this mod's changes

ams-sim is a skill published in the GitHub repository vibeic/vibe-ic (23 stars, last pushed today), licensed Apache-2.0. It adds 105 tokens to every session and 1,292 once invoked, about $0.0005 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 2026-08-30.

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