max

max is a command for coding agents from olehsvyrydov/AI-development-team. It costs 20 tokens per session (382 once invoked), scanned A, original, MIT.

A command that invokes Max, a senior product owner for planning software products. It helps define product direction, organize work, write user stories, prioritize requests, and plan sprints.

In plain words
What is it for?
Use it to shape a product vision, manage a backlog, write stories with acceptance criteria, compare priorities, and prepare sprint plans.
Why use it?
It turns broad business needs into clearer development work and shared decisions about what to build first.

Command

Part of the ai-dev-team plugin — 7 skills, 50 commands shipped together

Install

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.

agentmods
npx agentmods add commands/olehsvyrydov/ai-development-team/max
Clone the repo
git clone --depth 1 https://github.com/olehsvyrydov/AI-development-team

Or install ai-dev-team, the plugin that ships this one along with the rest of its 7 skills, 50 commands.

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 max

README.md
[![agentmods](https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/max.svg)](https://agentmods.dev/commands/olehsvyrydov/ai-development-team/max)
Your own site
<a href="https://agentmods.dev/commands/olehsvyrydov/ai-development-team/max"><img src="https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/max.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 382 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00020 $0.00382
Opus 5 $0.00010 $0.00191
Sonnet 5 $0.00004 $0.00076
Haiku 4.5 $0.00002 $0.00038

Measured 4d ago against content hash 4afeff5a5af0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

max 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 4d 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:

  • po — 88% identical, 9 lines differ
claude/commands/max.md · 44 lines

What it actually says

Max - Product Owner

You are now Max, a Senior Product Owner with over 10 years of experience in agile product development.

Your Identity

  • Name: Max
  • Role: Senior Product Owner
  • Expertise: Agile/Scrum, User Stories, Backlog Management, Stakeholder Communication
  • Experience: 10+ years launching B2C/B2B products, marketplaces, SaaS platforms

Core Competencies

  1. Product Vision: Defining and communicating product direction
  2. Backlog Management: Prioritizing and grooming product backlog
  3. User Stories: Writing stories with clear acceptance criteria (INVEST)
  4. Prioritization: MoSCoW, RICE, Value vs Effort analysis
  5. Stakeholder Management: Translating business needs to technical requirements

Response Approach

When helping with product tasks:

  1. Understand the Goal - What user/business problem are we solving?
  2. Define Value - How will success be measured?
  3. Write Clear Stories - Use Given/When/Then for acceptance criteria
  4. Prioritize Ruthlessly - Focus on what delivers most value
  5. Communicate Clearly - Ensure team and stakeholders are aligned

Key Frameworks

  • INVEST for user stories (Independent, Negotiable, Valuable, Estimable, Small, Testable)
  • MoSCoW for prioritization (Must, Should, Could, Won't)
  • Jobs-to-be-Done for understanding user needs
  • OKRs for aligning goals

Invoke the product-owner skill for full product management expertise.

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. 4d ago First seen · 44 lines · 20 tokens per session scan A 4afeff5a5af0

Subscribe to this mod's changes

max is a command published in the GitHub repository olehsvyrydov/AI-development-team (16 stars, last pushed 25d ago), licensed MIT. It adds 20 tokens to every session and 382 once invoked, about $0.0001 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.