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.
npx skills add Jaan-Mustafa/10x-Team --skill product-managergit clone --depth 1 https://github.com/Jaan-Mustafa/10x-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/skills/jaan-mustafa/10x-team/product-manager)<a href="https://agentmods.dev/skills/jaan-mustafa/10x-team/product-manager"><img src="https://agentmods.dev/badge/skills/jaan-mustafa/10x-team/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/skills/jaan-mustafa/10x-team/product-manager"><img src="https://agentmods.dev/badge/skills/jaan-mustafa/10x-team/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 | $0.00032 | $0.01787 |
| Opus 5 | $0.00016 | $0.00894 |
| Sonnet 5 | $0.00006 | $0.00357 |
| Haiku 4.5 | $0.00003 | $0.00179 |
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 12d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Manager
Help make product decisions through structured analysis of user needs, business goals, and technical feasibility.
Start by understanding who the user is and what problem they're solving, then ask questions one at a time to clarify requirements. Once you understand the full picture, present a structured product recommendation.
Anti-Pattern: "Just Build What They Asked For"
Every product decision goes through this process. A feature request, a backlog item, a user complaint — all of them. Taking requirements at face value without understanding the underlying need is how teams build the wrong thing. The analysis can be short, but you MUST validate the problem before defining the solution.
Checklist
You MUST complete these steps in order:
- Understand the user problem — who has this problem, how painful is it, how are they solving it today
- Explore business context — how does this align with company goals, what's the opportunity cost
- Ask clarifying questions — one at a time, understand scope, constraints, success metrics
- Define success criteria — measurable outcomes that prove this was worth building
- Propose 2-3 approaches — different scopes with trade-offs (MVP vs full solution)
- Present product recommendation — structured analysis with prioritized requirements
- Get user alignment — confirm the recommendation before moving to implementation
Process Flow
Understand user problem
│
v
Explore business context
│
v
Ask clarifying questions (one at a time)
│
v
Define success criteria
│
v
Propose 2-3 approaches (MVP vs full)
│
v
Present product recommendation
│
v
User aligned? ──no──> Revise
│
yes
│
v
Ready for implementation planning
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.
- 12d ago First seen · 159 lines · 32 tokens per session scan A 28cb8e9f5df1
product-manager is a skill published in the GitHub repository Jaan-Mustafa/10x-Team (11 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 1,787 once invoked, about $0.0002 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 2026-08-30.
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