transistor-models

transistor-models is a skill for Claude Code, Codex from Arcadia-1/gmoverid-skill. It costs 125 tokens per session (2,032 once invoked), scanned A, original, no licence file.

A library of Predictive Technology Model transistor models, which are mathematical descriptions of how MOSFETs and FinFETs behave in circuit simulations, across many chip-manufacturing process sizes.

In plain words
What is it for?
Use it to simulate conventional bulk transistors from 180 to 22 nanometres and multi-gate FinFETs from 20 to 7 nanometres, including high-performance and low-power variants.
Why use it?
It removes the need to manually download these model files before simulating circuits with ngspice or similar tools.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to simulate conventional bulk transistors from 180 to 22 nanometres and multi-gate FinFETs from 20 to 7 nanometres, including high-performance and low-power variants.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/arcadia-1/gmoverid-skill/transistor-models
Install

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.

Any agent
npx skills add Arcadia-1/gmoverid-skill --skill transistor-models
Clone the repo
git clone --depth 1 https://github.com/Arcadia-1/gmoverid-skill

Made for: Claude Code, Codex.

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.

agentmods badge for transistor-models

README.md
[![agentmods](https://agentmods.dev/badge/skills/arcadia-1/gmoverid-skill/transistor-models.svg)](https://agentmods.dev/skills/arcadia-1/gmoverid-skill/transistor-models)
Your own site
<a href="https://agentmods.dev/skills/arcadia-1/gmoverid-skill/transistor-models"><img src="https://agentmods.dev/badge/skills/arcadia-1/gmoverid-skill/transistor-models.svg" alt="Measured on agentmods" height="20"></a>
Per session 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,032 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.
Origin unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00125 $0.02032
Opus 5 $0.00063 $0.01016
Sonnet 5 $0.00025 $0.00406
Haiku 4.5 $0.00013 $0.00203

Measured 8d ago against content hash 288ad800043b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

transistor-models 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 8d ago.

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.

transistor-models/SKILL.md · 144 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

33 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.

  1. 8d ago First seen · 144 lines · 125 tokens per session scan A 288ad800043b

Subscribe to this mod's changes

transistor-models is a skill published in the GitHub repository Arcadia-1/gmoverid-skill (122 stars, last pushed 2mo ago), with no licence file. It adds 125 tokens to every session and 2,032 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

neuroskill-bci

Use live BCI cognitive and mood state from NeuroSkill.

NousResearch/hermes-agent · 18 tokens

ruview-advanced-sensing

Advanced RuView capabilities — RuvSense multistatic sensing (attention-weighted fusion, geometric diversity, persistent field model), cross-viewpoint fusion across multiple nodes, RF tomography (ISTA L1 solver, voxel grids), longitudinal biomechanics drift, pre-movement intention signals, adversarial signal detection…

ruvnet/RuView · 84 tokens

ruview-applications

Run RuView sensing applications — presence/occupancy, breathing & heart rate, activity & fall detection, 17-keypoint pose estimation (WiFlow), sleep monitoring & apnea screening, environment mapping, Mass Casualty Assessment (MAT), and the 3D point-cloud fusion demo. Use when someone wants to actually do something…

ruvnet/RuView · 79 tokens

lab-hardware-cad

Design custom laboratory hardware as parametric build123d models and export fabrication-ready STEP, STL, and DXF files - microfluidic chips and molds, optomechanical mounts and breadboard adapters, cuvette and microplate holders, tube racks, animal-behavior rigs, and 3D-printed instrument fixtures. Use when a research…

K-Dense-AI/scientific-agent-skills · 106 tokens

opentrons-integration

Author, review, migrate, simulate, and troubleshoot official Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots. Use for robot-specific liquid handling, deck and labware setup, pipettes, modules, runtime parameters, liquid classes, and Opentrons App analysis. Use pylabrobot instead when one workflow…

K-Dense-AI/scientific-agent-skills · 79 tokens

pylabrobot

Develop and review PyLabRobot lab-automation resources, liquid-handling plans, offline simulations, and supported-device integrations. Use for PyLabRobot protocols or API questions; keep physical execution behind an explicit operator safety gate.

K-Dense-AI/scientific-agent-skills · 49 tokens