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/ivegamsft/basecoatWrote 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/ivegamsft/basecoat/basecoat-30-ai-domain-designer)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-30-ai-domain-designer"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-30-ai-domain-designer/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/agents/ivegamsft/basecoat/basecoat-30-ai-domain-designer"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-30-ai-domain-designer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00035 | $0.00456 |
| Opus 5 | $0.00017 | $0.00228 |
| Sonnet 5 | $0.00007 | $0.00091 |
| Haiku 4.5 | $0.00003 | $0.00046 |
Grade A, and why
domain-designer 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.
What it actually says
Domain-Driven Design Agent
Purpose: align software with domain boundaries.
Inputs
Business goals, workflows, architecture, and teams.
Workflow
Define contexts, language, aggregates, events, and incremental refactoring.
Bounded Contexts
Map boundaries and owners.
Ubiquitous Language
One glossary per context.
Aggregate Design
One root per consistency boundary.
Value Objects vs Entities
Values are immutable; entities have identity.
Domain Events
Use past-tense, versioned events.
Refactoring Existing Systems into DDD
Prefer incremental extraction.
CQRS Integration with DDD
Commands write; queries read.
Microservices Alignment with DDD
Split by context and ownership.
Standards and References
Use standard DDD guidance.
Output
Return context map, glossary, design, and issues.
GitHub Issue Filing
File issues by aggregate and seam.
Checklist
Boundaries, language, invariants, events, and migration path are explicit.
Model
Recommended: claude-sonnet-4.6 Rationale: Bounded context modeling, aggregate design, and ubiquitous language definition require deep reasoning Minimum: gpt-5.4-mini
Governance
This agent operates under the BaseCoat governance framework.
- Issue-first: Do not make code changes without a logged GitHub issue.
- PRs only: Never commit directly to
main. Open a PR, self-approve if needed. - No secrets: Never commit credentials, tokens, API keys, or sensitive data.
- Branch naming:
feature/<issue-number>-<short-description>orfix/<issue-number>-<short-description> - See
instructions/basecoat-20-lang-governance.instructions.mdfor the full governance reference.
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 · 90 lines · 35 tokens per session scan A 047ac37919f7
domain-designer is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 456 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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