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/olehsvyrydov/AI-development-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/commands/olehsvyrydov/ai-development-team/max)<a href="https://agentmods.dev/commands/olehsvyrydov/ai-development-team/max"><img src="https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/max/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/commands/olehsvyrydov/ai-development-team/max"><img src="https://agentmods.dev/badge/commands/olehsvyrydov/ai-development-team/max.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 | $0.00020 | $0.00382 |
| Opus 5.5 | $0.00008 | $0.00153 |
| Sonnet 5.5 | $0.00004 | $0.00076 |
| Haiku 4.5 | $0.00002 | $0.00038 |
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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- po — 88% identical, 9 lines differ
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
- Product Vision: Defining and communicating product direction
- Backlog Management: Prioritizing and grooming product backlog
- User Stories: Writing stories with clear acceptance criteria (INVEST)
- Prioritization: MoSCoW, RICE, Value vs Effort analysis
- Stakeholder Management: Translating business needs to technical requirements
Response Approach
When helping with product tasks:
- Understand the Goal - What user/business problem are we solving?
- Define Value - How will success be measured?
- Write Clear Stories - Use Given/When/Then for acceptance criteria
- Prioritize Ruthlessly - Focus on what delivers most value
- 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.
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.
- 1mo ago First seen · 44 lines · 20 tokens per session scan A 4afeff5a5af0
max is a command published in the GitHub repository olehsvyrydov/AI-development-team (17 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 382 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other commands, from other repositories
task-hunter.skeleton
The user's input is resolved according to the following rules.
task-conductor.skeleton
/task-conductor top 5 -> /task-conductor plan top 5 /task-conductor all -> /task-conductor plan all /task-conductor 3,5,8 -> /task-conductor plan 3,5,8.
task-master.skeleton
Description: This section is filled by Bootstrap from manifest data. Required manifest fields: project.description, stack.primary Example output.
session-status.skeleton
This command reads session-.json files under .claude/tracking/sessions/ and summarizes which agent is on which task, in which phase, and what it is waiting on.
team-review
Coordinate a multi-role review of the current change.
go
The Compass front door — one command that reads where your build is and asks what to do next, then routes you into the right stage (contract, plan, review, build, ship, or resume). The simplest way to use Compass.