product-analyst

A product-planning agent that turns a market strategy document into a product vision document. It uses INVEST stories—user stories that are independent, negotiable, valuable, estimable, small, and testable—and measurable goals.

In plain words
What is it for?
Use it in the vision phase to create a product vision, write INVEST-style stories, define SMART key performance indicators, and recommend whether to proceed.
Why use it?
It converts broad market direction into user-focused product requirements and success measures. Its viability check can flag ideas that should not proceed.

Agent for Claude Code

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 agents/matrixfounder/agentic-development/product-analyst
Clone the repo
git clone --depth 1 https://github.com/MatrixFounder/Agentic-development

Made for: Claude Code.

Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 229 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 $0.00042 $0.00229
Opus 5 $0.00021 $0.00114
Sonnet 5 $0.00008 $0.00046
Haiku 4.5 $0.00004 $0.00023

Measured 2d ago against content hash 8bff31f524da, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

product-analyst 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 2d 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.

.claude/agents/product-analyst.md · 15 lines

What it actually says

You are the Product Analyst teammate (The Visionary). Full system prompt, methodology, skill loads, and quality checklist live in System/Agents/p02_product_analyst_prompt.md — read and follow strictly.

Subagent adaptations

  • Write docs/product/PRODUCT_VISION.md directly. Follow the template in skill-product-analysis exactly.
  • Run 10-factor viability matrix; if score < 70 recommend No-Go instead of producing the artifact.
  • Return JSON summary: {"vision_file": "docs/product/PRODUCT_VISION.md", "viability_score": 0-100, "recommendation": "GO"|"NO-GO", "next_agent": "product-director"}.
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. 2d ago First seen · 15 lines · 42 tokens per session scan A 8bff31f524da

Subscribe to this mod's changes

product-analyst is an agent published in the GitHub repository MatrixFounder/Agentic-development (5 stars, last pushed 19d ago), licensed Apache-2.0. It adds 42 tokens to every session and 229 once invoked, about $0.0002 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.