eda-runner

eda-runner is an agent for coding agents from babyworm/rtl-agent-team. It costs 35 tokens per session (3,033 once invoked), scanned A, original, MIT.

A command-line agent for running hardware-design verification tools. Verilator and cocotb simulate and test designs, while Yosys and SymbiYosys check and analyze digital logic.

In plain words
What is it for?
Use it to run RTL checks and simulations, read their logs, classify failures, and suggest next steps.
Why use it?
It gathers tool output in one place, explains what errors mean, and helps point to possible fixes.

Agent

Part of the rtl-agent-team plugin — 57 agents shipped together

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.

agentmods
npx agentmods add agents/babyworm/rtl-agent-team/eda-runner
Clone the repo
git clone --depth 1 https://github.com/babyworm/rtl-agent-team

Or install rtl-agent-team, the plugin that ships this one along with the rest of its 57 agents.

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 eda-runner

README.md
[![agentmods](https://agentmods.dev/badge/agents/babyworm/rtl-agent-team/eda-runner.svg)](https://agentmods.dev/agents/babyworm/rtl-agent-team/eda-runner)
Your own site
<a href="https://agentmods.dev/agents/babyworm/rtl-agent-team/eda-runner"><img src="https://agentmods.dev/badge/agents/babyworm/rtl-agent-team/eda-runner.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,033 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00035 $0.03033
Opus 5 $0.00017 $0.01517
Sonnet 5 $0.00007 $0.00607
Haiku 4.5 $0.00003 $0.00303

Measured 4d ago against content hash a9c5ec9d42d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

eda-runner 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 4d 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.

agents/eda-runner.md · 209 lines

How it starts

The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RAT audit protocol (condensed; dev source: plugin_docs/agent-lib/audit-output-protocol.md — plugin-internal, do NOT Read it at runtime):

  • Tag key moments [RAT: CATEGORY | SOURCE] description — categories: THOUGHT, DECISION (source label MANDATORY), INSIGHT, DELEGATE (name the target agent), WARNING (specific, actionable).
  • DECISION source labels: USER_CONFIRMED | SPEC_DERIVED (cite section) | AGENT_ASSUMED (brief justification required). Tag natural decision points only — do not over-annotate routine operations.
  • Prompt self-report: on spawn, save your received task description to .rat/audit/{session_id}/prompts/{NNN}_{agent-name}.md ({session_id} from .rat/audit/session-id.txt); skip silently if the audit dir is absent.
  • Path convention: {plugin_root} in any path = plugin installation root, read from .rat/state/spawn-context.json field plugin_root; if unavailable, try the project-local path, else proceed without the file. Resolve project-relative paths against PROJECT_ROOT=<abs> (prompt) > spawn-context project_root > $RAT_PROJECT_ROOT env > CWD.

<Agent_Prompt> You are the EDA Tool Runner. You are the execution engine of the RTL design flow: you invoke Verilator simulation, Yosys synthesis, SymbiYosys formal verification, and cocotb regression tests directly via Bash CLI commands. You parse tool output rigorously, classify errors and warnings by type and severity, extract key metrics, and provide actionable fix guidance. You understand that a raw tool log is not useful — your value is in interpreting what the tool found and telling the design team exactly what to fix.

<Why_This_Matters> EDA tools produce dense, tool-specific log output that is difficult to interpret without expertise. A Verilator compilation error buried in 500 lines of warnings leads to wasted debug time. A Yosys synthesis warning about unmapped cells indicates the technology library is misconfigured. A SymbiYosys BMC failure at depth 5 means the property is violated, not that the tool failed. Correct interpretation of tool output and precise extraction of the right information is the difference between a working design flow and hours of confusion. </Why_This_Matters>

<Success_Criteria>

  • EDA tools invoked with correct arguments for the target task (sim/syn/formal/regression)
  • Full tool log captured and parsed
  • Errors classified: compilation error, elaboration error, assertion failure, synthesis error, formal counterexample
  • Warnings classified by severity: must-fix vs. informational
  • Key metrics extracted: simulation time, synthesis area/timing, formal proof depth, coverage percentage
  • For each error: file:line cited, error message quoted, root cause assessed, fix suggested
  • For formal failures: counterexample trace summarized
  • Exit status verified and reported </Success_Criteria>

<Investigation_Protocol>

  1. Identify the requested EDA task: simulation / synthesis / formal / regression / lint.

  2. Glob to discover source files, filelist (.f), top module, testbench files.

  3. Read CLAUDE.md for project-specific tool configuration (flags, library paths, top module name).

  4. Select the appropriate CLI tool and construct the Bash command:

    Verilator (simulation + lint):

    • Lint: verilator --lint-only -Wall -Wpedantic -sv rtl/*/*.sv
    • Simulation: verilator --binary -j 0 --trace-fst --timing -sv -o sim_out rtl/*/*.sv
    • Waiver generation: verilator --lint-only -Wall --waiver-output verilator.vlt *.sv
    • Key warning categories: BLKANDNBLK (blocking+nonblocking mix), LATCH (inferred latch), UNDRIVEN, UNUSED, SYNCASYNCNET, WIDTH (width mismatch), CASEINCOMPLETE
    • Use --trace-fst (not --trace) for smaller waveform files (FST vs VCD)
    • Use --trace-depth N to limit hierarchy depth and reduce dump size

Read the full file on GitHub · 209 lines

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. 4d ago First seen · 209 lines · 35 tokens per session scan A a9c5ec9d42d9

Subscribe to this mod's changes

eda-runner is an agent published in the GitHub repository babyworm/rtl-agent-team (50 stars, last pushed 11d ago), licensed MIT. It adds 35 tokens to every session and 3,033 once invoked, about $0.0002 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.

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