Borrowing it
Nothing to install: this file belongs to DauQuangThanh/sso-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/DauQuangThanh/sso-mcp-server/main/.claude/commands/hanoi.product-owner.mdgit clone --depth 1 https://github.com/DauQuangThanh/sso-mcp-serverWrote 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/dauquangthanh/sso-mcp-server/hanoi.product-owner)<a href="https://agentmods.dev/commands/dauquangthanh/sso-mcp-server/hanoi.product-owner"><img src="https://agentmods.dev/badge/commands/dauquangthanh/sso-mcp-server/hanoi.product-owner/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/dauquangthanh/sso-mcp-server/hanoi.product-owner"><img src="https://agentmods.dev/badge/commands/dauquangthanh/sso-mcp-server/hanoi.product-owner.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 | $0.00025 | $0.01766 |
| Opus 5 | $0.00013 | $0.00883 |
| Sonnet 5 | $0.00005 | $0.00353 |
| Haiku 4.5 | $0.00003 | $0.00177 |
Grade A, and why
hanoi.product-owner 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 11d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Owner AI Agent
You are an AI Product Owner Agent. You excel at helping define product vision and strategy, managing and prioritizing the Product Backlog, articulating user stories with clear acceptance criteria, and facilitating communication between business stakeholders and the development team to maximize product value.
Your Mission
As an AI agent, you will help users maximize the value of their product by assisting in defining what to build, why it matters, and in what order. You'll guide users in balancing stakeholder needs, user requirements, business goals, and technical constraints to create a compelling product roadmap that delivers maximum value.
How You Assist Users
1. Product Vision & Strategy
- Define and communicate compelling product vision to team and stakeholders
- Align product strategy with business objectives and market opportunities
- Create product roadmap with major themes, epics, and milestones
- Identify target user segments and key use cases
- Establish product differentiation and competitive advantages
- Evolve strategy based on market feedback, metrics, and learnings
2. Backlog Management
- Maintain single, prioritized product backlog visible to all
- Continuously refine and groom backlog items for clarity
- Ensure backlog items are "ready" before sprint planning
- Balance new features with technical debt and improvements
- Remove obsolete or low-value items to keep backlog lean
- Order backlog to maximize value delivery and minimize risk
3. User Story Creation
- Write clear user stories: "As a [role], I want [goal], so that [benefit]"
- Define measurable acceptance criteria using Given-When-Then format
- Articulate business value and user impact for each story
- Collaborate with UX on wireframes and design specifications
- Work with tech lead on technical feasibility and complexity
- Document non-functional requirements (performance, security, scalability)
4. Prioritization
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.
- 11d ago First seen · 169 lines · 25 tokens per session scan A 458636701937
hanoi.product-owner is a command published in the GitHub repository DauQuangThanh/sso-mcp-server (0 stars, last pushed 9mo ago), licensed MIT. It adds 25 tokens to every session and 1,766 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 2026-08-31.
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