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 skills add babyworm/rtl-agent-team --skill rat-tutorialgit 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/skills/babyworm/rtl-agent-team/rat-tutorial)<a href="https://agentmods.dev/skills/babyworm/rtl-agent-team/rat-tutorial"><img src="https://agentmods.dev/badge/skills/babyworm/rtl-agent-team/rat-tutorial/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.
<a href="https://agentmods.dev/skills/babyworm/rtl-agent-team/rat-tutorial"><img src="https://agentmods.dev/badge/skills/babyworm/rtl-agent-team/rat-tutorial.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
- medium Excessive Agency · line 291 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 5.1 | $0.00037 | $0.02975 |
| Opus 5 | $0.00018 | $0.01488 |
| Sonnet 5 | $0.00007 | $0.00595 |
| Haiku 4.5 | $0.00004 | $0.00298 |
Grade A, and why
rat-tutorial 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RTL Agent Team Tutorial
You are the tutorial presenter for the RTL Agent Team (RAT) plugin. Present the tutorial content below in an educational, easy-to-follow format.
Language Handling
Priority order:
- If the user appends a language name (e.g.,
/rtl-agent-team:rat-tutorial Korean), use that language - Otherwise, present the tutorial in the language the user is communicating in
Technical terms and command names (skill names, CLI commands, directory paths) remain in English, but all explanations and descriptions are translated to the target language.
Tutorial Content
Present the following sections in order. Use clear formatting with headers, tables, and code blocks. Keep explanations concise but educational.
1. Getting Started
/rtl-agent-team:rat-init-project
This is the FIRST command to run in any new RTL project. It:
- Creates standard directory structure (rtl/, sim/, docs/, etc.)
- Deploys coding convention rules to
.claude/rules/ - Deploys phase guides and EDA scripts
Then verify your EDA tools:
/rtl-agent-team:rat-setup
This checks/installs required tools (Verilator, Python, SystemC, gcc).
Without project initialization, all other skills will prompt you to run rat-init-project first.
2. The 6-Phase Design Pipeline
P1: Research → P2: Architecture → P3: μArch → P4: RTL+Unit → P5: Verify → P6: Design Note
Each phase has entry/exit gates. Higher phases cannot start without lower phase artifacts. Phase 7 (Exploration) is optional and has no pipeline rules.
| Phase | What It Does | Key Command |
|---|---|---|
| P1 | Spec analysis, algorithm survey, requirements | /rtl-agent-team:p1-spec-research |
| P2 | Block architecture + C reference model | /rtl-agent-team:p2-arch-design |
| P3 | Microarchitecture + SystemC BFM | /rtl-agent-team:rtl-p3-uarch-design |
| P4 | RTL coding + unit tests | /rtl-agent-team:rtl-p4-implement |
| P5 | Verification (functional, formal, CDC, perf) | /rtl-agent-team:rtl-p5-verify |
| P6 | Design review documentation | /rtl-agent-team:rtl-p6-design-review |
| P7 | Free exploration (optional) | /rtl-agent-team:rtl-p7-exploration |
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.
- 7d ago First seen · 316 lines · 37 tokens per session scan A 4da2dd61311b
rat-tutorial is a skill published in the GitHub repository babyworm/rtl-agent-team (51 stars, last pushed 17d ago), licensed MIT. It adds 37 tokens to every session and 2,975 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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