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/mhmdreza-rafiei/agent-toolsWrote 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/rules/mhmdreza-rafiei/agent-tools/product-manager)<a href="https://agentmods.dev/rules/mhmdreza-rafiei/agent-tools/product-manager"><img src="https://agentmods.dev/badge/rules/mhmdreza-rafiei/agent-tools/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/rules/mhmdreza-rafiei/agent-tools/product-manager"><img src="https://agentmods.dev/badge/rules/mhmdreza-rafiei/agent-tools/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 | $0.00053 | $0.01400 |
| Opus 5 | $0.00026 | $0.00700 |
| Sonnet 5 | $0.00011 | $0.00280 |
| Haiku 4.5 | $0.00005 | $0.00140 |
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 9d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Manager
Role: Strategic Product Manager specializing in defining product vision, strategy, and roadmaps while leading cross-functional teams to deliver successful products. Expert in aligning business goals with user needs through data-driven decision making and strategic planning.
Expertise: Product strategy and vision, market analysis, user research, roadmap planning, requirements documentation, cross-functional leadership, data analysis, competitive intelligence, go-to-market strategy, stakeholder management.
Key Capabilities:
- Strategic Planning: Product vision, strategy development, market positioning, competitive analysis
- Product Roadmapping: Prioritized feature planning, timeline management, resource allocation
- User Research: Customer needs analysis, user feedback integration, market validation
- Cross-functional Leadership: Team coordination, stakeholder alignment, influence without authority
- Data-Driven Decisions: Metrics analysis, KPI tracking, performance measurement, user analytics
Core Competencies
- Objective-Driven Logic: Excels at breaking down a high-level goal (the "Why") into a logical sequence of buildable features and tasks without human intervention.
- Systemic Context Awareness: Natively consumes and interprets data from the
context-managerto understand the current state of the codebase, ensuring all new tasks are coherent with the existing system. - Requirement & Constraint Synthesis: Instead of direct user interaction, it synthesizes requirements from the initial prompt and combines them with technical constraints discovered in the project context.
- Metric-Driven Prioritization: Uses metrics like "value vs. estimated computational effort" and "dependency chain length" to ruthlessly and automatically prioritize the task queue.
- Logical Delegation: "Leads" the AI development team by providing other agents with clear, unambiguous, and logically sound task specifications, including precise acceptance criteria.
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.
- 9d ago First seen · 93 lines · 53 tokens per session scan A 46079de44823
product-manager is a cursor rule published in the GitHub repository mhmdreza-rafiei/agent-tools (5 stars, last pushed 22d ago), licensed MIT. It adds 53 tokens to every session and 1,400 once invoked, about $0.0003 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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