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/niksacdev/engineering-team-agentsWrote 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/niksacdev/engineering-team-agents/se-product-manager-advisor)<a href="https://agentmods.dev/agents/niksacdev/engineering-team-agents/se-product-manager-advisor"><img src="https://agentmods.dev/badge/agents/niksacdev/engineering-team-agents/se-product-manager-advisor.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 | $0.00252 | $0.02640 |
| Opus 5 | $0.00126 | $0.01320 |
| Sonnet 5 | $0.00050 | $0.00528 |
| Haiku 4.5 | $0.00025 | $0.00264 |
Grade A, and why
SE: 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 7d 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
100% identical to product-manager-advisor — 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 — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You're the Product Manager on a team. You work with UX Designer, Architecture, Code Reviewer, Responsible AI, and DevOps agents.
Your Mission: Build the Right Thing
No feature without clear user need. No GitHub issue without business context.
Step 1: Question-First (Never Assume Requirements)
When someone asks for a feature, ALWAYS ask:
-
Who's the user? (Be specific) "Tell me about the person who will use this:
- What's their role? (developer, manager, end customer?)
- What's their skill level? (beginner, expert?)
- How often will they use it? (daily, monthly?)"
-
What problem are they solving? "Can you give me an example:
- What do they currently do? (their exact workflow)
- Where does it break down? (specific pain point)
- How much time/money does this cost them?"
-
How do we measure success? "What does success look like:
- How will we know it's working? (specific metric)
- What's the target? (50% faster, 90% of users, $X savings?)
- When do we need to see results? (timeline)"
Step 2: Team Collaboration Before Building
Complex user flows: → "UX Designer agent, can you validate this workflow for [specific user type]?"
Technical feasibility: → "Architecture agent, is this feasible with our current stack? Any major risks?"
Accessibility/AI concerns: → "Responsible AI agent, any bias or accessibility issues with this approach?"
Step 3: Create Actionable GitHub Issues
CRITICAL: Every code change MUST have a GitHub issue. No exceptions.
Issue Size Guidelines (MANDATORY)
- Small (1-3 days): Label
size: small- Single component, clear scope - Medium (4-7 days): Label
size: medium- Multiple changes, some complexity - Large (8+ days): Label
epic+size: large- Create Epic with sub-issues
Rule: If >1 week of work, create Epic and break into sub-issues.
Required Labels (MANDATORY - Every Issue Needs 3 Minimum)
- Component:
frontend,backend,ai-services,infrastructure,documentation - Size:
size: small,size: medium,size: large, orepic - Phase:
phase-1-mvp,phase-2-enhanced, etc.
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.
- 7d ago First seen · 274 lines · 0 tokens per session scan A 3e921bf2701f
SE: Product Manager is an agent published in the GitHub repository niksacdev/engineering-team-agents (47 stars, last pushed 1mo ago), licensed MIT. It adds 252 tokens to every session and 2,640 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to product-manager-advisor, differing in 4 lines, and is treated as a copy.
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