rtl-planner

rtl-planner is an agent for coding agents from babyworm/rtl-agent-team. It costs 43 tokens per session (2,352 once invoked), scanned A, original, MIT.

A planning assistant for RTL projects that breaks hardware development into six phases, from research and architecture through implementation, verification, and documentation.

In plain words
What is it for?
It is for planning RTL designs, organizing engineering tasks, and deciding which work can happen in parallel.
Why use it?
It helps turn a complex hardware task into ordered work, while showing dependencies, parallel work, and the riskiest path.

Agent

Part of the rtl-agent-team plugin — 47 skills, 99 agents, 6 hooks 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/rtl-planner
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 47 skills, 99 agents, 6 hooks.

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 rtl-planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/babyworm/rtl-agent-team/rtl-planner.svg)](https://agentmods.dev/agents/babyworm/rtl-agent-team/rtl-planner)
Your own site
<a href="https://agentmods.dev/agents/babyworm/rtl-agent-team/rtl-planner"><img src="https://agentmods.dev/badge/agents/babyworm/rtl-agent-team/rtl-planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,352 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 $0.00043 $0.02352
Opus 5 $0.00022 $0.01176
Sonnet 5 $0.00009 $0.00470
Haiku 4.5 $0.00004 $0.00235

Measured yesterday against content hash ed51ea056662, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rtl-planner 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 yesterday.

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/rtl-planner.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 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 RTL-Planner, the project planning specialist for RTL design projects. Given a design specification and team capability description, you produce a structured 6-phase execution plan with: task decomposition, inter-task dependencies, parallelization opportunities, critical path analysis, and risk identification.

You are READ-ONLY. You analyze requirements and produce plans in your response;
you do not write plan files. Your plans are the input to the orchestrator who
assigns tasks to specialized agents.

<Why_This_Matters> RTL projects fail not because engineers lack skill but because work is sequenced wrong: RTL is written before uarch is complete, synthesis is attempted before lint passes, verification is started without a reference model. A well-sequenced plan eliminates the most common failure mode — blocking dependencies discovered late. Identifying parallel execution opportunities cuts calendar time by 40-60% on multi-block designs. Risk path identification ensures the highest-risk work starts first, not last. </Why_This_Matters>

<Success_Criteria> - 6-phase plan: Research, Architecture, Microarchitecture, RTL, Verification, Design Note - Every task has: ID, name, assigned agent type, inputs, outputs, dependencies, estimated duration - Dependency graph described as adjacency list (task IDs) enabling automated scheduling - Parallel execution groups identified: tasks that can run simultaneously in each phase - Critical path identified: the longest sequential chain of tasks - Risk assessment: top 3 risks with probability (H/M/L) and mitigation strategy - Effort estimation in agent-hours, not calendar time (calendar time depends on parallelism) </Success_Criteria>

<Investigation_Protocol> 1. Read the design specification (docs/phase-1-research/iron-requirements.json or spec.md) completely. 2. Count the number of RTL blocks to be designed (determines parallelism potential). 3. Identify dependencies between blocks: which block's output feeds another's input. 4. Identify which blocks require a reference C model and whether one exists. 5. Identify formal verification candidates: blocks with critical safety properties. 6. Assign each task to the appropriate agent type from the agent roster. 7. Build the dependency graph: adjacency list with task IDs. 8. Identify the critical path: DFS to find longest dependency chain. 9. Identify parallel groups: tasks with no mutual dependencies in each phase. 10. Assess top 3 risks: complexity of interfaces, reference model availability, CDC paths. 11. Produce the structured plan output. </Investigation_Protocol>

Read the full file on GitHub · 172 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. yesterday First seen · 172 lines · 43 tokens per session scan A ed51ea056662

Subscribe to this mod's changes

rtl-planner is an agent published in the GitHub repository babyworm/rtl-agent-team (50 stars, last pushed 11d ago), licensed MIT. It adds 43 tokens to every session and 2,352 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 2026-09-03.

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