product

product is an agent for Claude Code from ChrisMckerracher/claude-dream-team. It costs 130 tokens per session (922 once invoked), scanned A, original, MIT.

A product-management agent that turns user needs into written product plans, user stories, acceptance rules, and Gherkin feature files. Gherkin is a plain-language format for describing software behavior in testable scenarios.

In plain words
What is it for?
Use it to write product briefs, define user-facing flows, set acceptance criteria, check whether a technical design serves the product goal, and research competing products.
Why use it?
It helps teams agree on what to build before implementation begins. It also keeps product decisions separate from source-code details.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the dream-team plugin — 3 commands, 7 agents, 1 plugin shipped together

Good fit Use it to write product briefs, define user-facing flows, set acceptance criteria, check whether a technical design serves the product goal, and research competing products.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/chrismckerracher/claude-dream-team/product
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.

Clone the repo
git clone --depth 1 https://github.com/ChrisMckerracher/claude-dream-team

Made for: Claude Code.

Or install dream-team, the plugin that ships this one along with the rest of its 3 commands, 7 agents, 1 plugin.

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

README.md
[![agentmods](https://agentmods.dev/badge/agents/chrismckerracher/claude-dream-team/product/github.svg)](https://agentmods.dev/agents/chrismckerracher/claude-dream-team/product)
Your own site
<a href="https://agentmods.dev/agents/chrismckerracher/claude-dream-team/product"><img src="https://agentmods.dev/badge/agents/chrismckerracher/claude-dream-team/product/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

Your own site · 80×15
<a href="https://agentmods.dev/agents/chrismckerracher/claude-dream-team/product"><img src="https://agentmods.dev/badge/agents/chrismckerracher/claude-dream-team/product.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 130 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 922 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 $0.00130 $0.00922
Opus 5 $0.00065 $0.00461
Sonnet 5 $0.00026 $0.00184
Haiku 4.5 $0.00013 $0.00092

Measured 10d ago against content hash 04c76cfdb540, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

product 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 10d 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.

agents/product.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Agent - Product Management Specialist

You are the Product Agent on the Dream Team, responsible for defining what needs to be built from the user's perspective and ensuring the team builds the right thing.

Your Role

  • Write product briefs that define the problem and desired outcomes
  • Create .feature files (Gherkin format) for all user-facing flows
  • Define user stories with clear acceptance criteria
  • Validate that architecture designs serve product goals
  • Research competitive solutions when relevant
  • Provide context for QA validation

Documentation-Layer Constraint

You operate exclusively at the documentation layer:

  • Read and write to docs/ directory
  • Read product specs, feature files, and briefs
  • Do NOT read source code directly
  • If you need to understand codebase behavior, check docs/spelunk/flows/ first
  • If spelunk docs are missing, message a Coding teammate to run: spelunk --for=product --focus="[area]"

Product Brief Format

Write product briefs to docs/plans/product/:

---
epic: "Epic Name"
status: draft | review | approved
created: YYYY-MM-DD
priority: critical | high | medium | low
---

# Product Brief: [Feature Name]

## Problem Statement
What problem are we solving and for whom?

## Success Criteria
How do we measure success?

## User Stories
As a [persona], I want [action], so that [outcome].

## Acceptance Criteria
Specific, testable criteria for completion.

## Out of Scope
What we are explicitly NOT doing.

## Open Questions
Unresolved decisions that need input.

Feature File Format (Gherkin)

Write .feature files to docs/features/:

Feature: [Feature Name]
  As a [persona]
  I want [capability]
  So that [benefit]

  Background:
    Given [common preconditions]

  Scenario: [Happy path scenario]
    Given [initial state]
    When [action]
    Then [expected outcome]
    And [additional verification]

  Scenario: [Edge case scenario]
    Given [initial state]
    When [action]
    Then [expected outcome]

Read the full file on GitHub · 134 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. 10d ago First seen · 134 lines · 130 tokens per session scan A 04c76cfdb540

Subscribe to this mod's changes

product is an agent published in the GitHub repository ChrisMckerracher/claude-dream-team (5 stars, last pushed 6mo ago), licensed MIT. It adds 130 tokens to every session and 922 once invoked, about $0.0006 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.

Related

Other agents, from other repositories

project-implementer

Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.

athola/claude-night-market · 38 tokens

scrum-master

Scrum Master agent (Bob) — generates story files from Epic Manifest rows and the delivery file.

LuisFelipeMoro/Harness-devkit · 24 tokens

onboard-guide

Onboarding assistant that provides ongoing personalized guidance after initial /onboard. Use for questions about conventions, architecture, patterns, or "where do I put this?" — answers are tailored to the engineer's background.

smicolon/ai-kit · 46 tokens

jira-analyst

Read full Jira ticket context (description, comments, attachments, links, media) and produce structured analysis suitable for posting back as a Jira comment. Read-only via the jira-as CLI wrapper. Routed by mk:jira-analyst skill. NOT for complexity scoring (jira-evaluator); NOT for story-point estimation…

ngocsangyem/MeowKit · 72 tokens

pm-advisor

You are pm-advisor — great-pm's external-perspective product advisor. You are NOT a process reviewer. You are the seasoned operator the founder pulls aside and says: "Be honest — what do you actually think of this?".

VandanaAjayDubey111/great-pm · 123 tokens

goals-onboarding

Use this agent to set up the OKR/goals system for a new company or project. Guides the user through defining annual objectives, key results, team quarterly OKRs, initiatives, tasks, support functions, and org chart. Generates YAML files following the workspace goals schema. Examples: Context: User wants to set up…

41fred/ace-level1 · 206 tokens