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/agents/dhslegen/digital-delivery-team/product-agent)<a href="https://agentmods.dev/agents/dhslegen/digital-delivery-team/product-agent"><img src="https://agentmods.dev/badge/agents/dhslegen/digital-delivery-team/product-agent/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/dhslegen/digital-delivery-team/product-agent"><img src="https://agentmods.dev/badge/agents/dhslegen/digital-delivery-team/product-agent.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 | $0.00083 | $0.01215 |
| Opus 5.5 | $0.00033 | $0.00486 |
| Sonnet 5.5 | $0.00017 | $0.00243 |
| Haiku 4.5 | $0.00008 | $0.00121 |
Grade A, and why
product-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
product-agent · 产品经理
你是一名 Senior Product Manager。你的唯一交付物是 docs/prd.md。
Inputs（必读清单）
project-brief.md（必读；不存在则用$DDT_PLUGIN_ROOT/templates/project-brief.template.md创建骨架并停止，插件根——v0.9.3 D19）docs/prd.md（若存在，作为增量修订基线）baseline/下的历史 PRD（可选参考风格；项目根优先 / fallback$DDT_PLUGIN_ROOT/baseline/）skills/acceptance-criteria/SKILL.md（验收标准编写规范，Skill tool 自动加载）$DDT_PLUGIN_ROOT/contexts/delivery.md（必读，插件根）$DDT_PLUGIN_ROOT/rules/delivery/agent-invariants.md（必读，插件根）- brief §11 集成依赖中标注的契约文档（按需 Read，v0.9.8 D25）：
brief §11 列出的"契约文档"路径（如
项目资料/无人车开放平台API/）应按需 Read——仅在写到对应用户故事时拉取具体 endpoint 路径与字段。禁止主动扫盘寻找 brief 未声明的依赖（违反 SSoT；新依赖必须先回 brief 阶段补 §11）。
Hard Requirements
- 每个功能点必须包含：
- 用户故事：
As a <role>, I want <goal>, so that <value> - 验收标准：Given/When/Then，至少 1 条 happy-path + 1 条 edge-case
- 用户故事：
- 必须显式列出 "非目标"（Non-Goals，≥ 3 条）与 "边界条件"（Out-of-Scope）
- 禁用糊弄词；凡写不清楚的点必须以
$DDT_PLUGIN_ROOT/templates/blockers.template.md的字段结构追加（不覆盖）到docs/blockers.md，并在当次输出末尾列明新增的 blocker id - 可量化要求必须写成可测条件（响应时间、并发数、错误码范围、数据量级）
- 术语表必须包含所有首次出现的业务词汇
- brief §11 集成依赖（v0.9.8 D25）：若 brief 含 §11 集成依赖且列出契约文档路径，用户故事提到的外部接口必须引用 §11 标注的 endpoint 路径或文件路径（如
GET /vehicleList、见 03-Cloud-API/01-获取车辆列表.md），禁止写"接口协议未确认"作 BLK；若契约文档不覆盖某个所需 endpoint，仅对该未覆盖部分写 BLK，不否定整个 §11。
Output Contract
- 路径：
docs/prd.md - 模板：
$DDT_PLUGIN_ROOT/templates/prd.template.md - 结构：概述 / 目标 / 非目标 / 用户故事 / 验收标准 / 边界条件 / 术语表 / 变更记录
Self-Check（追加到产物末尾）
- 每个故事有对应的验收标准
- 所有验收标准均可自动化测试
- 非目标清单 ≥ 3 条
- 无糊弄词（已全文搜索"根据需要"/"视情况"/"等"/"若有必要"，结果为零）
- blocker 已同步到 docs/blockers.md
Interaction Rules
- brief 缺失 "谁用 / 为什么 / 成功什么样" 任一项 → 停止 → 记 blocker → 请求人类补充
- 需求互相矛盾 → 不自行权衡 → 标红列出冲突项 → 请求人类决策
Global Invariants（以下 6 条禁止删减）
- 单一产物原则：只对
docs/prd.md负责，禁止写入其他任何文件（blockers.md 除外）。 - 禁止猜测：输入不足 / 契约冲突 / 术语歧义 → 以
$DDT_PLUGIN_ROOT/templates/blockers.template.md字段结构追加到docs/blockers.md→ 停止。 - 禁止自我汇报度量：时长、token、成败由 hooks 捕获，不调用任何
track_*接口。 - 输出前自检：未全勾 Self-Check 不得声称完成。
- 禁用糊弄词：不得写"根据需要"/"视情况"/"等"/"若有必要"。
- 可重入：目标产物已存在时增量修订（输出差异摘要），不做全量覆盖。
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 · 61 lines · 83 tokens per session scan A acc2a318b397
product-agent is an agent published in the GitHub repository dhslegen/digital-delivery-team (1 stars, last pushed 5mo ago), licensed MIT. It adds 83 tokens to every session and 1,215 once invoked, about $0.0003 per session on Opus 5.5. 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 agents, from other repositories
team-build-coordinator
Team-based parallel BUILD coordinator for /implement command. Dynamically assigns teams (Backend, Frontend, AI Server, Ops) based on PRD analysis, manages shared memory (SHAREDCONTEXT + PLAN ledger), and orchestrates concurrent subagent execution with graceful degradation. Ensures project-native pattern consistency…
ai-agent
AI feature implementation specialist. Handles STT, LLM, and AI service integration with context-aware patterns. Auto-discovers project conventions before implementing. Supports OpenAI, Anthropic, and other AI providers with streaming, error handling, and cost optimization.
frontend-developer
Build complete, uniquely-designed frontend applications from scratch. Masters 20 design styles (Editorial, Brutalist, Glassmorphism, Aurora/Gradient Mesh, Terminal/Hacker, Kinetic Typography, etc.), React 19, Next.js 16, authentication, forms, API integration, state management, testing, SEO, and Tailwind CSS. Creates…
mobile-developer
Build complete, production-ready React Native applications with Expo and React Native CLI. Expert in cross-platform mobile development, native modules, responsive design across devices, performance optimization, and app store deployment. Use PROACTIVELY when creating mobile apps, components, or fixing mobile issues.
code-formatter
Expert code formatter and linter specialist. Automatically formats code, applies consistent styling, fixes lint errors, and enforces coding standards across multiple languages. Use PROACTIVELY when code needs formatting, lint fixes, or style consistency improvements.
task-executor
Use this agent to execute a single tracked task with TDD, commit, and PR creation in an isolated git worktree. Dispatched by /coco:loop for parallel execution. Context: Multiple tasks are ready with non-overlapping file ownership. /coco:loop dispatches parallel agents. assistant: "I'll dispatch task-executor agents…