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/dhslegen/digital-delivery-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/commands/dhslegen/digital-delivery-team/design)<a href="https://agentmods.dev/commands/dhslegen/digital-delivery-team/design"><img src="https://agentmods.dev/badge/commands/dhslegen/digital-delivery-team/design/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/commands/dhslegen/digital-delivery-team/design"><img src="https://agentmods.dev/badge/commands/dhslegen/digital-delivery-team/design.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 | $0.00022 | $0.02851 |
| Opus 5.5 | $0.00009 | $0.01140 |
| Sonnet 5.5 | $0.00004 | $0.00570 |
| Haiku 4.5 | $0.00002 | $0.00285 |
Grade B, and why
design scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
[ -f "$DDT_PLUGIN_ROOT/bin/aggregate.mjs" ] || DDT_PLUGIN_ROOT=$(cat "${HOME}/.claude/delivery-metrics/.ddt-plugin-root" 2>/dev/null) How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/design
输入:$ARGUMENTS
Phase 1 — 前置校验
test -f docs/prd.md || { echo "❌ docs/prd.md 不存在,请先运行 /prd"; exit 1; }
test -f docs/wbs.md || { echo "❌ docs/wbs.md 不存在,请先运行 /wbs"; exit 1; }
[ -f "$DDT_PLUGIN_ROOT/bin/aggregate.mjs" ] || DDT_PLUGIN_ROOT=$(cat "${HOME}/.claude/delivery-metrics/.ddt-plugin-root" 2>/dev/null)
[ -f "$DDT_PLUGIN_ROOT/bin/aggregate.mjs" ] || DDT_PLUGIN_ROOT="${HOME}/.claude/plugins/marketplaces/digital-delivery-team"
[ -f "$DDT_PLUGIN_ROOT/bin/aggregate.mjs" ] || { echo "❌ DDT plugin root 未解析。可能原因:(1) 插件未安装;(2) shell 中 DDT_PLUGIN_ROOT 指向无效路径,请 unset DDT_PLUGIN_ROOT 后重启会话;(3) 运行 /digital-delivery-team:doctor 自检"; exit 1; }
export DDT_PLUGIN_ROOT
if printf '%s' "$ARGUMENTS" | grep -q -- '--dry-run'; then
node "$DDT_PLUGIN_ROOT/bin/print-dry-run.mjs" --phase design --inputs "docs/prd.md,docs/wbs.md,project-brief.md" --outputs "docs/arch.md,docs/api-contract.yaml,docs/data-model.md,.ddt/tech-stack.json" --next "/design-brief (spa) | /impl (server-side|none)"
exit 0
fi
node "$DDT_PLUGIN_ROOT/bin/emit-phase.mjs" --phase design --action start
"$DDT_PLUGIN_ROOT/bin/check-blockers.sh" || exit 2
若 docs/api-contract.yaml 已存在且未传 --refresh,进入增量修订模式。
Phase 2 — 解析技术栈(M3-3 优先级链 + M6.3 交互式问卷)
Step 2a:先尝试自动解析
# 提取参数中的 --preset 与 --ai-design(如果有)
PRESET_FLAG=$(printf '%s' "$ARGUMENTS" | grep -oE -- '--preset [a-zA-Z0-9_-]+' | head -1 | awk '{print $2}')
AIDESIGN_FLAG=$(printf '%s' "$ARGUMENTS" | grep -oE -- '--ai-design [a-zA-Z0-9_-]+' | head -1 | awk '{print $2}')
node "$DDT_PLUGIN_ROOT/bin/resolve-tech-stack.mjs" \
${PRESET_FLAG:+--preset "$PRESET_FLAG"} \
${AIDESIGN_FLAG:+--ai-design "$AIDESIGN_FLAG"} \
--write
Step 2b:M6.3 交互式问卷(关键)
LLM 必须执行:检查 project-brief.md 中的 "技术栈预设" 字段:
- 若值为
interactive或custom:必须用AskUserQuestion工具发起 Spring Initializr 等价 4 步问卷 - 若值为具体 preset(如
java-modern)但project-brief.md同时含 "后端框架"、"前端框架"等具体字段且与 preset 默认值冲突:用 AskUserQuestion 问 1 题确认偏好 - 若值为
none或interactive且 brief 无具体字段:强制走 4 步问卷,不允许 LLM 自行选栈
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.
- 1mo ago First seen · 248 lines · 22 tokens per session scan B 8bd57c2925dd
design is a command published in the GitHub repository dhslegen/digital-delivery-team (1 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 2,851 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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