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.
npx agentmods add agents/babyworm/rtl-agent-team/rtl-plannergit clone --depth 1 https://github.com/babyworm/rtl-agent-teamWrote 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.
[](https://agentmods.dev/agents/babyworm/rtl-agent-team/rtl-planner)<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>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.
| Model | Per session | Once 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 |
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.
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.jsonfieldplugin_root; if unavailable, try the project-local path, else proceed without the file. Resolve project-relative paths againstPROJECT_ROOT=<abs>(prompt) > spawn-contextproject_root>$RAT_PROJECT_ROOTenv > 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>
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.
- yesterday First seen · 172 lines · 43 tokens per session scan A ed51ea056662
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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