agentmods.dev

ace-rtl

ace-rtl is a skill for Claude Code, Codex from NVlabs/ACE-RTL. It costs 72 tokens per session (1,420 once invoked), scanned A, original, no licence file.

A workflow for running an iterative RTL-design agent on CVDP. RTL, or register-transfer level, is a way to describe digital hardware; CVDP is the benchmark and repository used for these runs.

In plain words
What is it for?
Use it to set up CVDP runs, guide tasks, route work to external language models, log unique outputs, and report benchmark results.
Why use it?
It organizes setup, role-based model routing, benchmark rules, output logging, and pass-rate reporting in one process.

Skill for Claude CodeCodex

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

not rated 26repo +2 1mo ago A scan 72 tokens custom licence

Good fit Use it to set up CVDP runs, guide tasks, route work to…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nvlabs/ace-rtl/ace-rtl
View source ↗ NVlabs/ACE-RTL
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 NVlabs/ACE-RTL --skill ace-rtl
Clone the repo
git clone --depth 1 https://github.com/NVlabs/ACE-RTL

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 ace-rtl

README.md
[![agentmods](https://agentmods.dev/badge/skills/nvlabs/ace-rtl/ace-rtl.svg)](https://agentmods.dev/skills/nvlabs/ace-rtl/ace-rtl)
Your own site
<a href="https://agentmods.dev/skills/nvlabs/ace-rtl/ace-rtl"><img src="https://agentmods.dev/badge/skills/nvlabs/ace-rtl/ace-rtl.svg" alt="Measured on agentmods" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,420 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 $0.00072 $0.01420
Opus 5 $0.00036 $0.00710
Sonnet 5 $0.00014 $0.00284
Haiku 4.5 $0.00007 $0.00142

Measured 6d ago against content hash da76b827c2a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

ace-rtl 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 6d ago.

The scan reads SKILL.md. This mod also ships 50 executable files (scripts/ace_agent_runner.py, scripts/ace_cvdp_native_runner.py, scripts/ace_cvdp_native/__init__.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.

skills/ace-rtl/SKILL.md · 115 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

60 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. 6d ago First seen · 115 lines · 72 tokens per session scan A da76b827c2a7

Subscribe to this mod's changes

ace-rtl is a skill published in the GitHub repository NVlabs/ACE-RTL (26 stars, last pushed 1mo ago), with no licence file. It adds 72 tokens to every session and 1,420 once invoked, about $0.0004 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.

Hardware and IoTScientific
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