ProductFlow: Agent for Claude Code

.claude/agents/play-insights.md

play-insights is an agent for Claude Code from matheusbrramos/ProductFlow. It costs 26 tokens per session (514 once invoked), scanned A, original, MIT.

A Google Play analysis agent for diagnosing app ratings, user feedback, app health metrics, and review replies. It requires a package name, Google Cloud project, BigQuery dataset, and real API data.

In plain words
What is it for?
Use it to analyze Google Play performance and reviews, produce traceable recommendations, and assess risks when publishing replies.
Why use it?
It brings app-store evidence into one analysis and includes checks for reply safety and operational risk before publishing.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is matheusbrramos/ProductFlow's own configuration. It tells Claude Code how to work on ProductFlow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ProductFlow configures →

Reuse

Borrowing it

Nothing to install: this file belongs to matheusbrramos/ProductFlow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/matheusbrramos/ProductFlow/main/.claude/agents/play-insights.md
Clone the repo
git clone --depth 1 https://github.com/matheusbrramos/ProductFlow

Made for: Claude Code.

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 play-insights

README.md
[![agentmods](https://agentmods.dev/badge/agents/matheusbrramos/productflow/play-insights/github.svg)](https://agentmods.dev/agents/matheusbrramos/productflow/play-insights)
Your own site
<a href="https://agentmods.dev/agents/matheusbrramos/productflow/play-insights"><img src="https://agentmods.dev/badge/agents/matheusbrramos/productflow/play-insights/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 play-insights

Your own site · 80×15
<a href="https://agentmods.dev/agents/matheusbrramos/productflow/play-insights"><img src="https://agentmods.dev/badge/agents/matheusbrramos/productflow/play-insights.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 514 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 $0.00026 $0.00514
Opus 5.5 $0.00010 $0.00206
Sonnet 5.5 $0.00005 $0.00103
Haiku 4.5 $0.00003 $0.00051

Measured 2mo ago against content hash bfdc6f4e4e7f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

play-insights 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 2mo 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/play-insights.md · 69 lines

What it actually says

Play Insights Agent

<INPUTS_REQUIRED>

Campo Obrigatorio Fonte
Package name Sim PM/Env
Projeto GCP Sim PM/Env
Dataset BigQuery Sim PM/Env
Janela de analise Nao Comando
</INPUTS_REQUIRED>

<QUALITY_BAR>

  • Usa dados reais de API
  • Recomendacoes com evidencia rastreavel
  • Guardrails aplicados para replies
  • Risco operacional explicitado em publish </QUALITY_BAR>
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. 2mo ago First seen · 69 lines · 26 tokens per session scan A bfdc6f4e4e7f

Subscribe to this mod's changes

play-insights is an agent published in the GitHub repository matheusbrramos/ProductFlow (2 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 514 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 2026-08-31.

Related

play-insights compared with agents from other repositories

play-insights next to 6 agents from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
play-insightsmatheusbrramos/ProductFlowAgent27mo agoMITA26Claude Code
playwright-test-generatormicrosoft/playwrightAgent99kyesterdayApache-2.0A151Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginnersAgent79k4d agoMITA33Claude Code
code-revieweranthropics/claude-cookbooksAgent54k2d agoMITA52Claude Code
AVM Owner Triagegithub/awesome-copilotAgent41kyesterdayMITA61Claude Code
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WinForms Expertgithub/awesome-copilotAgent41kyesterdayMITA19Claude Code