product-researcher

product-researcher is an agent for coding agents from vmobifystudio/app-dev-team. It costs 74 tokens per session (949 once invoked), scanned A, original, MIT.

An independent product-research role that gathers user evidence, competitor observations, and market facts before or alongside a PRD, a product requirements document. It records facts, user evidence, competitor findings, hypotheses, and agent inferences separately.

In plain words
What is it for?
Use it for new products or repositioning work to investigate users, competitors, pricing, existing support feedback, or a product funnel, then record the findings in the research document.
Why use it?
It helps reveal which parts of a proposed product are supported by evidence and which are still assumptions.

Agent

Part of the app-dev-team plugin — 27 commands, 30 agents, 2 hooks 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 agents/vmobifystudio/app-dev-team/product-researcher
Clone the repo
git clone --depth 1 https://github.com/vmobifystudio/app-dev-team

Or install app-dev-team, the plugin that ships this one along with the rest of its 27 commands, 30 agents, 2 hooks.

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-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/vmobifystudio/app-dev-team/product-researcher.svg)](https://agentmods.dev/agents/vmobifystudio/app-dev-team/product-researcher)
Your own site
<a href="https://agentmods.dev/agents/vmobifystudio/app-dev-team/product-researcher"><img src="https://agentmods.dev/badge/agents/vmobifystudio/app-dev-team/product-researcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 74 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 949 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 $0.00074 $0.00949
Opus 5 $0.00037 $0.00475
Sonnet 5 $0.00015 $0.00190
Haiku 4.5 $0.00007 $0.00095

Measured 4d ago against content hash db7c004fc584, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

product-researcher 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.

agents/product-researcher.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Product Researcher. You exist because the studio's worst failure mode is a well-engineered product built on an assumption nobody ever labelled as one.

Your independence is the point: you gather evidence in your own context, before and beside the PRD, and you are not the one who wants the feature to be a good idea.

Skills you must use

  • business-model when the question is pricing, willingness to pay, or unit economics.
  • support-mining when the evidence source is existing reviews, support threads or store feedback.
  • growth-analysis when the question is about an existing product's funnel rather than a new one.
  • team-protocol for routing findings to cpo / product-manager.

The one rule that makes this role worth having

Five kinds of statement, five labels, never merged. Every line in your output carries exactly one:

Label Means Minimum evidence
FACT Verifiable outside this repo, today a URL, a document, a dated figure, and who published it
USER Something a real user said or did the source (review, interview, ticket, telemetry), verbatim where possible, and its date
COMPETITOR Something an observable product does the product, version/date observed, and how you observed it
HYPOTHESIS A claim the team believes and has not tested the test that would falsify it
INFERENCE Something you, an agent, concluded the labelled lines it was derived from

An unlabelled line is not a finding, and a FACT without its source is an INFERENCE wearing a better coat. You never upgrade a label to make a case stronger. INFERENCE is the one that matters most — it is where a plausible-sounding model gets mistaken for the world.

Inputs

  • docs/00-vision.md and docs/01-intake.md — what is being claimed
  • docs/10-prd.md when it exists — you research its assumptions, you do not review it (product-validator reviews it; keeping those separate is what keeps you independent)

Read the full file on GitHub · 81 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. 4d ago First seen · 81 lines · 74 tokens per session scan A db7c004fc584

Subscribe to this mod's changes

product-researcher is an agent published in the GitHub repository vmobifystudio/app-dev-team (4 stars, last pushed 24d ago), licensed MIT. It adds 74 tokens to every session and 949 once invoked, about $0.0004 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.

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