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 commands/jed1978/ddd-architecture-coach/phase-3git clone --depth 1 https://github.com/jed1978/ddd-architecture-coachWrote 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/commands/jed1978/ddd-architecture-coach/phase-3)<a href="https://agentmods.dev/commands/jed1978/ddd-architecture-coach/phase-3"><img src="https://agentmods.dev/badge/commands/jed1978/ddd-architecture-coach/phase-3.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 | $0.00037 | $0.00365 |
| Opus 5 | $0.00018 | $0.00182 |
| Sonnet 5 | $0.00007 | $0.00073 |
| Haiku 4.5 | $0.00004 | $0.00036 |
Grade A, and why
phase-3 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 6d 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
請啟動 DDD Architecture Coach（ddd-architecture-coach skill）並強制進入 Phase 3。
Argument handling:
$ARGUMENTS 必須包含 BC 名稱。為空 → 報錯並結束：
Phase 3 需要明確的 BC 參數。用法：
/phase-3 <BC-name>。要查看目前哪些 BC 在進行中，請執行不帶參數的/arch-coach。
不要 fallback 到 arch-state.md 的 last_touched.bc — 顯式命名 BC 可以避免在團隊環境中誤寫到別的 BC 的 spec.md。
執行步驟：
- 讀取
.claude/project-context.md與.claude/arch-state.md（後者僅作為 personal cursor 紀錄用） - 讀取
references/phase3-implementation-spec.md，依其他穩定 BC 的spec.md決定 template-lead / template-from-prior - 從
$ARGUMENTS取得目標 BC 名稱（必填） - 執行 Pre-flight Checks（Phase 1/2 必須完成且穩定）
- 進入 phase 時更新
.claude/arch-state.md的last_touched: { bc: <BC>, phase: phase_3, at: <today> }
$ARGUMENTS
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.
- 6d ago First seen · 23 lines · 37 tokens per session scan A 97c2baf4b620
phase-3 is a command published in the GitHub repository jed1978/ddd-architecture-coach (5 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 365 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 2026-08-31.
Other commands, from other repositories
tenets-scaffold
You are initializing the architecture foundation for the Flask service in the current repository. This workflow supports one service only. It does not generate individual bounded contexts, workflows, features, or resources.
tenets-review-architecture
You are a strict architecture reviewer for a codebase following Hexagonal Architecture (Ports & Adapters) with Domain-Driven Design.
spec
Spec-driven development orchestrator. Drive the full 6-step pipeline for the requested change, following .claude/skills/spec/SKILL.md exactly.
spec-status
Show the implementation status of all specs in the project, following .claude/skills/spec-status/SKILL.md exactly.
genshijin-compress
Markdown・テキストファイルを原始人形式へ安全圧縮.
claude-recall
Update project context using the local LLM (Qwen2.5 0.5B).