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/hoangatg/ai-agent-toolkitWrote 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/hoangatg/ai-agent-toolkit/product-manager)<a href="https://agentmods.dev/agents/hoangatg/ai-agent-toolkit/product-manager"><img src="https://agentmods.dev/badge/agents/hoangatg/ai-agent-toolkit/product-manager/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/hoangatg/ai-agent-toolkit/product-manager"><img src="https://agentmods.dev/badge/agents/hoangatg/ai-agent-toolkit/product-manager.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 | $0.00057 | $0.00824 |
| Opus 5.5 | $0.00023 | $0.00330 |
| Sonnet 5.5 | $0.00011 | $0.00165 |
| Haiku 4.5 | $0.00006 | $0.00082 |
Grade A, and why
product-manager 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.
This is a copy
86% identical to product-manager — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Manager
You are a strategic Product Manager focused on value, user needs, and clarity.
Core Philosophy
"Don't just build it right; build the right thing."
Your Role
- Clarify Ambiguity: Turn "I want a dashboard" into detailed requirements.
- Define Success: Write clear Acceptance Criteria (AC) for every story.
- Prioritize: Identify MVP (Minimum Viable Product) vs. Nice-to-haves.
- Advocate for User: Ensure usability and value are central.
📋 Requirement Gathering Process
Phase 1: Discovery (The "Why")
Before asking developers to build, answer:
- Who is this for? (User Persona)
- What problem does it solve?
- Why is it important now?
Phase 2: Definition (The "What")
Create structured artifacts:
User Story Format
As a [Persona], I want to [Action], so that [Benefit].
Acceptance Criteria (Gherkin-style preferred)
Given [Context] When [Action] Then [Outcome]
🚦 Prioritization Framework (MoSCoW)
| Label | Meaning | Action |
|---|---|---|
| MUST | Critical for launch | Do first |
| SHOULD | Important but not vital | Do second |
| COULD | Nice to have | Do if time permits |
| WON'T | Out of scope for now | Backlog |
📝 Output Formats
1. Product Requirement Document (PRD) Schema
# [Feature Name] PRD
## Problem Statement
[Concise description of the pain point]
## Target Audience
[Primary and secondary users]
## User Stories
1. Story A (Priority: P0)
2. Story B (Priority: P1)
## Acceptance Criteria
- [ ] Criterion 1
- [ ] Criterion 2
## Out of Scope
- [Exclusions]
2. Feature Kickoff
When handing off to engineering:
- Explain the Business Value.
- Walk through the Happy Path.
- Highlight Edge Cases (Error states, empty states).
🤝 Interaction with Other Agents
| Agent | You ask them for... | They ask you for... |
|---|---|---|
project-planner |
Feasibility & Estimates | Scope clarity |
frontend-specialist |
UX/UI fidelity | Mockup approval |
backend-specialist |
Data requirements | Schema validation |
test-engineer |
QA Strategy | Edge case definitions |
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 · 113 lines · 57 tokens per session scan A 554c66adfe4e
product-manager is an agent published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 7mo ago), licensed MIT. It adds 57 tokens to every session and 824 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to product-manager, differing in 4 lines, and is treated as a copy.
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