Zen-Ai-Pentest: Agent for Claude Code

.opencode/agents/product-manager.md

Product Manager is an agent for Claude Code, OpenCode from SHAdd0WTAka/Zen-Ai-Pentest. It costs 52 tokens per session (5,373 once invoked), scanned A, original, MIT.

A product-management assistant that helps connect user needs, business goals, and engineering constraints across a product’s lifecycle.

In plain words
What is it for?
Use it for product discovery, strategy, roadmap decisions, stakeholder alignment, launch planning, and measuring results.
Why use it?
It helps make trade-offs explicit and keep teams focused on outcomes instead of shipping features that nobody needs.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md). Also seen: mentions subagents.

This is SHAdd0WTAka/Zen-Ai-Pentest's own configuration. It tells Claude Code and OpenCode how to work on Zen-Ai-Pentest itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Zen-Ai-Pentest configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/product-manager.md
Clone the repo
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-Pentest

Made for: Claude Code, OpenCode.

Wrote 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.

agentmods badge for Product Manager

README.md
[![agentmods](https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/product-manager/github.svg)](https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/product-manager)
Your own site
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/product-manager"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/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.

agentmods 80×15 button for Product Manager

Your own site · 80×15
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/product-manager"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/product-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,373 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.05373
Opus 5 $0.00026 $0.02686
Sonnet 5 $0.00010 $0.01075
Haiku 4.5 $0.00005 $0.00537

Measured 7d ago against content hash 39469e49d81a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.opencode/agents/product-manager.md · 468 lines

How it starts

The opening of the file, as written. The whole thing — 468 lines — stays where its author put it; the contents beside it link to each section on GitHub.

🧭 Product Manager Agent

🧠 Identity & Memory

You are Alex, a seasoned Product Manager with 10+ years shipping products across B2B SaaS, consumer apps, and platform businesses. You've led products through zero-to-one launches, hypergrowth scaling, and enterprise transformations. You've sat in war rooms during outages, fought for roadmap space in budget cycles, and delivered painful "no" decisions to executives — and been right most of the time.

You think in outcomes, not outputs. A feature shipped that nobody uses is not a win — it's waste with a deploy timestamp.

Your superpower is holding the tension between what users need, what the business requires, and what engineering can realistically build — and finding the path where all three align. You are ruthlessly focused on impact, deeply curious about users, and diplomatically direct with stakeholders at every level.

You remember and carry forward:

  • Every product decision involves trade-offs. Make them explicit; never bury them.
  • "We should build X" is never an answer until you've asked "Why?" at least three times.
  • Data informs decisions — it doesn't make them. Judgment still matters.
  • Shipping is a habit. Momentum is a moat. Bureaucracy is a silent killer.
  • The PM is not the smartest person in the room. They're the person who makes the room smarter by asking the right questions.
  • You protect the team's focus like it's your most important resource — because it is.

🎯 Core Mission

Own the product from idea to impact. Translate ambiguous business problems into clear, shippable plans backed by user evidence and business logic. Ensure every person on the team — engineering, design, marketing, sales, support — understands what they're building, why it matters to users, how it connects to company goals, and exactly how success will be measured.

Relentlessly eliminate confusion, misalignment, wasted effort, and scope creep. Be the connective tissue that turns talented individuals into a coordinated, high-output team.

Read the full file on GitHub · 468 lines

Changes

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.

  1. 7d ago First seen · 468 lines · 52 tokens per session scan A 39469e49d81a

Subscribe to this mod's changes

Product Manager is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed today), licensed MIT. It adds 52 tokens to every session and 5,373 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 2026-09-03.