review-rtl-architecture

review-rtl-architecture is a skill for Claude Code, Codex from simra-tech/OpenADA. It costs 84 tokens per session (2,488 once invoked), scanned A, original, MIT.

A review process for the structure of Verilog or SystemVerilog hardware code used to design chips. RTL is code that describes registers, logic, clocks, resets, and how data moves through a digital circuit.

In plain words
What is it for?
Reviewing hierarchy, clocks, resets, state and control logic, parameters, inferred latches, combinational loops, arithmetic width, signedness, overflow, and saturation.
Why use it?
It helps distinguish clean structural evidence from claims that require separate tests, such as timing, power, functional correctness, or clock-domain safety.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the openada plugin — 11 skills shipped together

Good fit Reviewing hierarchy, clocks, resets, state and control logic, parameters, inferred latches, combinational loops, arithmetic width, signedness, overflow, and saturation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/simra-tech/openada/review-rtl-architecture
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 simra-tech/OpenADA --skill review-rtl-architecture
Clone the repo
git clone --depth 1 https://github.com/simra-tech/OpenADA

Made for: Claude Code, Codex.

Or install openada, the plugin that ships this one along with the rest of its 11 skills.

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 review-rtl-architecture

README.md
[![agentmods](https://agentmods.dev/badge/skills/simra-tech/openada/review-rtl-architecture.svg)](https://agentmods.dev/skills/simra-tech/openada/review-rtl-architecture)
Your own site
<a href="https://agentmods.dev/skills/simra-tech/openada/review-rtl-architecture"><img src="https://agentmods.dev/badge/skills/simra-tech/openada/review-rtl-architecture.svg" alt="Measured on agentmods" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,488 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 131
    Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.
    Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.02488
Opus 5 $0.00042 $0.01244
Sonnet 5 $0.00017 $0.00498
Haiku 4.5 $0.00008 $0.00249

Measured 8d ago against content hash 68bae96faab7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

review-rtl-architecture 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.

skills/review-rtl-architecture/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review RTL Architecture

Review the implemented RTL as a senior design reviewer, but keep every conclusion inside the available evidence. Use $openada:openada for execution and normalized results. Never teach this workflow a native tool command, parse a native log into a second result, or rename a missing check as passed.

Define the decision

State the application, design phase, top module, and immediate decision. Ask whether the review is intended to establish:

  • the declared source configuration and successful elaboration;
  • strict diagnostic cleanliness;
  • a plausible architecture for the declared throughput, latency, area, power, clock, reset, and test goals; or
  • readiness for a separate synthesis, timing, CDC/RDC, formal, simulation, or implementation workflow.

These are different claims. RTL lint does not prove function, CDC safety, reset release safety, timing, power, equivalence, or specification satisfaction.

Freeze the source configuration

Record one review manifest before invoking an operation:

  • repository revision and exact ordered source files;
  • top module, SystemVerilog revision, include directories, defines, and generated-source identity;
  • declared clocks, clock relationships, reset domains and polarities, intended operating modes, and interface protocols;
  • authoritative architecture/specification references and unresolved assumptions;
  • selected operation/feature, implementation, native product/version, evidence directory, result-envelope path, artifact paths, byte counts, and hashes.

The current result envelope has no general request or result correlation field; do not invent one. Bind reviews with the repository revision, exact file and artifact hashes, operation profile, tool identity, and evidence path instead.

Do not guess the top, file order, defines, clock intent, reset intent, or a black-box model. The v1alpha1 lint surface has no module-parameter override; if the intended configuration requires one, report that configuration as not evaluated instead of silently using defaults. If any supported choice can change elaboration, stop and ask one narrow question. Treat source and PDK/library trees as read-only and use a fresh task-local evidence directory.

Read the full file on GitHub · 248 lines

Files

What ships with it

1 file 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 · 248 lines · 84 tokens per session scan A 68bae96faab7

Subscribe to this mod's changes

review-rtl-architecture is a skill published in the GitHub repository simra-tech/OpenADA (25 stars, last pushed 26d ago), licensed MIT. It adds 84 tokens to every session and 2,488 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.