virtuoso-bridge-lite is a bridge that lets AI coding agents control Cadence Virtuoso and Spectre, electronic-design tools for analog and mixed-signal circuits, through Python, SKILL, or the command line. Engineers can use it locally or connect to a remote server to automate design work with an agent. The catalogue entries provide agent skills and instructions for working with the bridge.
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 skills add Arcadia-1/virtuoso-bridge-lite --skill netlistgit clone --depth 1 https://github.com/Arcadia-1/virtuoso-bridge-liteWrote 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.
[](https://agentmods.dev/skills/arcadia-1/virtuoso-bridge-lite/netlist)<a href="https://agentmods.dev/skills/arcadia-1/virtuoso-bridge-lite/netlist"><img src="https://agentmods.dev/badge/skills/arcadia-1/virtuoso-bridge-lite/netlist/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.
<a href="https://agentmods.dev/skills/arcadia-1/virtuoso-bridge-lite/netlist"><img src="https://agentmods.dev/badge/skills/arcadia-1/virtuoso-bridge-lite/netlist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00090 | $0.00715 |
| Opus 5.5 | $0.00036 | $0.00286 |
| Sonnet 5.5 | $0.00018 | $0.00143 |
| Haiku 4.5 | $0.00009 | $0.00072 |
Grade A, and why
netlist 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Netlist Semantic Cleanup
Use this skill when converting generated netlists into readable, reviewable Spectre/SPICE reference decks.
Principle
The primary cleanup engine is semantic understanding by the model and engineer. Do not treat netlist cleanup as a blind text rewrite. A checker can report leftover tool artifacts, but it cannot decide circuit boundaries, node meaning, or instance names.
Workflow
- Preserve the raw generated artifact. Never edit ADE/PEX output in place.
- Read enough context to understand the circuit: ports, hierarchy, stimulus, measurements, clocking, biasing, and intended DUT boundary.
- Read
references/cleaning.mdbefore curating a real design. - Draft the semantic cleanup plan:
- DUT subckt or wrapper interface.
- Testbench-owned supplies, clocks, stimulus, loads, probes, and analyses.
- Run-deck-owned parameters, model includes, corners, sweeps, and saves.
- Rename map for random nodes/instances, plus unresolved review notes.
- Create the clean netlist as a curated source artifact. Use model reasoning to split DUT/testbench/run decks and to choose semantic names.
- Run the checker only after the semantic pass:
python skills/netlist/scripts/check_spectre_netlist.py netlist/dut/block.scs --mode dut
python skills/netlist/scripts/check_spectre_netlist.py netlist/tb/tb_block.scs --mode tb
The checker reports suspicious MOS tail parameters, random-looking node names, generic instance names, and DUT/testbench mixing. It does not rewrite files and should not be used as the main cleanup mechanism.
Rules
- Preserve MOS instance parameters by default when numerical behavior matters. Removing layout side-effect tails is an explicit stripped-reference choice, not the default.
- If a stripped reference is requested, it may remove
ad/as,pd/ps,nrd/nrs,sa/sb/sca/scb,sp*, DFM, stress, proximity, and extraction parameters, but expect performance differences and validate against the full-parameter or raw deck. - Split reusable artifacts into DUT, testbench, and run decks. A clean DUT file should not contain supplies, clocks, sweeps, saves, probes, or analysis statements.
- At the top of every curated netlist file or section containing MOS devices,
add an explicit terminal-order comment, for example:
// MOS terminal order: D G S B (drain gate source bulk/body). - Replace random names (
net1,_net23,N_*, numeric mesh nodes,I42,M0) with semantic names where the circuit meaning is known. If meaning is unknown, leave a short review note instead of guessing. - Validate after cleanup with a parser or Spectre syntax/smoke run when Cadence is available.
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.
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.
- 2mo ago First seen · 62 lines · 90 tokens per session scan A fa1a907f4ff1
netlist is a skill published in the GitHub repository Arcadia-1/virtuoso-bridge-lite (1,012 stars, last pushed yesterday), licensed MIT. It adds 90 tokens to every session and 715 once invoked, about $0.0004 per session on Opus 5.5. 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.
netlist compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| netlistArcadia-1/virtuoso-bridge-lite | Skill | 1.0k | yesterday | MIT | A | 90 | Claude Code, Codex |
| gke-compute-classesgoogle/skills | Skill | 22k | yesterday | Apache-2.0 | A | 83 | Claude Code, Codex |
| jetson-diagnosticNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 30 | Claude Code, Codex |
| holoscan-install-wheelNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 34 | Claude Code, Codex |
| offensive-z-waveSnailSploit/Claude-Red | Skill | 10k | 25d ago | MIT | A | 113 | Claude Code, Codex |
| doca-socket-relayNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 236 | Claude Code, Codex |
| hsb-flashNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | B | 94 | Claude Code |