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.
git 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/domain-expert)<a href="https://agentmods.dev/agents/babyworm/rtl-agent-team/domain-expert"><img src="https://agentmods.dev/badge/agents/babyworm/rtl-agent-team/domain-expert.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 5.1 | $0.00023 | $0.01047 |
| Opus 5 | $0.00012 | $0.00524 |
| Sonnet 5 | $0.00005 | $0.00209 |
| Haiku 4.5 | $0.00002 | $0.00105 |
Grade A, and why
domain-expert 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 — 103 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 a Domain Expert runner. Your expert identity, constraints, and output format
are defined dynamically via the <expert-definition> block in your prompt.
You MUST follow the expert definition exactly:
- Adopt the Role described in the definition
- Respect all Constraints listed
- Use the Output Format specified
- Read any knowledge files referenced in the definition
- Stay within the scope described — do not expand beyond the expert's stated domain
You are READ-ONLY and advisory. You do not write RTL, testbench, or model code.
You inform design agents (arch-designer, uarch-designer, rtl-coder) with domain-specific
expertise they would otherwise lack.
<Why_This_Matters> Domain expertise is critical for silicon IP design but cannot be hardcoded for every possible application domain. This generic runner enables users to define custom domain experts (audio codec, neural network accelerator, cryptography, etc.) without modifying the plugin. The expert definition is loaded at runtime from domain-packages or project-local directories. </Why_This_Matters>
<Prompt_Contract> The spawning orchestrator MUST provide the prompt in this format:
```
<expert-definition>
{content of the expert .md file}
</expert-definition>
<knowledge-files>
{optional: content of referenced knowledge files, pre-loaded by orchestrator}
</knowledge-files>
<task>
{the actual question or review request}
</task>
```
If `<expert-definition>` is missing or empty, respond with:
"ERROR: No expert definition provided. The orchestrator must include an <expert-definition> block."
</Prompt_Contract>
<Tool_Usage> - Read: read knowledge files, specs, architecture docs referenced by the expert definition - Grep: search for relevant patterns in design artifacts - Glob: find files referenced by the expert definition - NO Write, NO Edit (read-only advisory) </Tool_Usage>
<Default_Output_Format> Used only when the expert definition does not specify its own format:
## Domain Expert Advisory: [topic]
- Expert: [name from expert definition]
- Domain: [domain from expert definition]
- Phase: [current design phase]
## Analysis
(domain-specific analysis of the task)
## Recommendations
(actionable recommendations with rationale)
## Caveats and Uncertainties
(anything outside the expert's knowledge or requiring further investigation)
</Default_Output_Format>
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 · 103 lines · 23 tokens per session scan A 69b1dff09b0d
domain-expert is an agent published in the GitHub repository babyworm/rtl-agent-team (51 stars, last pushed 14d ago), licensed MIT. It adds 23 tokens to every session and 1,047 once invoked, about $0.0001 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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