verilog_rra

verilog_rra is a skill for Claude Code, Codex from ic-star-tech/ccfoundry-agent-kit. It costs 22 tokens per session (771 once invoked), scanned A, original, MIT.

A workflow for building and checking Round Robin Arbiter testbenches in Verilog. A Round Robin Arbiter fairly chooses one requester from several competing requesters, and a testbench checks that the circuit behaves correctly.

In plain words
What is it for?
Use it when building or verifying a Round Robin Arbiter or when a hardware task requires one. It covers the Verilog module, pass/fail testbench, Icarus Verilog compilation, simulation with vvp, and result checking.
Why use it?
It provides a repeatable way to create a fair arbitration module and detect incorrect behavior through self-checking tests. It also defines how to compile and simulate the design.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when building or verifying a Round Robin Arbiter or when a hardware task requires one. It covers the Verilog module, pass/fail testbench, Icarus Verilog compilation, simulation with vvp, and result checking.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ic-star-tech/ccfoundry-agent-kit/verilog_rra
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 ic-star-tech/ccfoundry-agent-kit --skill verilog_rra
Clone the repo
git clone --depth 1 https://github.com/ic-star-tech/ccfoundry-agent-kit

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 verilog_rra

README.md
[![agentmods](https://agentmods.dev/badge/skills/ic-star-tech/ccfoundry-agent-kit/verilog_rra/github.svg)](https://agentmods.dev/skills/ic-star-tech/ccfoundry-agent-kit/verilog_rra)
Your own site
<a href="https://agentmods.dev/skills/ic-star-tech/ccfoundry-agent-kit/verilog_rra"><img src="https://agentmods.dev/badge/skills/ic-star-tech/ccfoundry-agent-kit/verilog_rra/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.

agentmods 80×15 button for verilog_rra

Your own site · 80×15
<a href="https://agentmods.dev/skills/ic-star-tech/ccfoundry-agent-kit/verilog_rra"><img src="https://agentmods.dev/badge/skills/ic-star-tech/ccfoundry-agent-kit/verilog_rra.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 771 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 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 $0.00022 $0.00771
Opus 5.5 $0.00009 $0.00308
Sonnet 5.5 $0.00004 $0.00154
Haiku 4.5 $0.00002 $0.00077

Measured 2mo ago against content hash d3cd69881791, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

verilog_rra 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.

examples/verilog_module_writer/agent_space/skills/verilog_rra/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verilog RRA Testbench Skill

Trigger

Use this skill when the user asks to build, verify, or test a Round Robin Arbiter (RRA) in Verilog, or when a Foundry requirement mentions RRA/verilog.

Capabilities

  • Write a parametric Round Robin Arbiter module (Verilog-2001)
  • Generate a self-checking testbench with pass/fail assertions
  • Compile using iverilog and simulate using vvp
  • Parse simulation output to determine pass/fail

Implementation Guide

RRA Module (rra.v)

Use a mask-based approach for fair round-robin scheduling:

  • Maintain a 4-bit mask register
  • After granting bit[i], set mask to clear bits <= i
  • Use lowest-set-bit extraction: x & (~x + 1)
  • When masked_req is empty, wrap around to unmasked req
// Round Robin Arbiter - 4 bit (Verilog-2001)
module rra (
    input  wire        clk,
    input  wire        rst_n,
    input  wire [3:0]  req,
    output reg  [3:0]  grant
);
    reg [3:0] mask;
    reg [3:0] masked_req;
    reg [3:0] sel;

    function [3:0] lsb;
        input [3:0] x;
        begin
            lsb = x & (~x + 4'b0001);
        end
    endfunction

    always @(posedge clk or negedge rst_n) begin
        if (!rst_n) begin
            mask  <= 4'b1111;
            grant <= 4'b0000;
        end else if (|req) begin
            masked_req = req & mask;
            if (|masked_req)
                sel = lsb(masked_req);
            else
                sel = lsb(req);
            grant <= sel;
            case (sel)
                4'b0001: mask <= 4'b1110;
                4'b0010: mask <= 4'b1100;
                4'b0100: mask <= 4'b1000;
                default: mask <= 4'b1111;
            endcase
        end else begin
            grant <= 4'b0000;
        end
    end
endmodule

Testbench (rra_tb.v)

  • Use $dumpfile / $dumpvars for waveform capture
  • Include reset sequence (rst_n=0 for 20ns, then rst_n=1)
  • Test single requests, round-robin all-request, and no-request cases
  • Print PASS/FAIL for each test case
  • Print summary with ALL_TESTS_PASSED or SOME_TESTS_FAILED

Read the full file on GitHub · 100 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. 2mo ago First seen · 100 lines · 22 tokens per session scan A d3cd69881791

Subscribe to this mod's changes

verilog_rra is a skill published in the GitHub repository ic-star-tech/ccfoundry-agent-kit (24 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 771 once invoked, about $0.0001 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.

Related

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