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.
curl -O https://raw.githubusercontent.com/matheusbrramos/ProductFlow/main/.claude/agents/play-insights.mdgit clone --depth 1 https://github.com/matheusbrramos/ProductFlowWrote 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/agents/matheusbrramos/productflow/play-insights)<a href="https://agentmods.dev/agents/matheusbrramos/productflow/play-insights"><img src="https://agentmods.dev/badge/agents/matheusbrramos/productflow/play-insights.svg" alt="Measured on agentmods" 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 | $0.00026 | $0.00514 |
| Opus 5 | $0.00013 | $0.00257 |
| Sonnet 5 | $0.00005 | $0.00103 |
| Haiku 4.5 | $0.00003 | $0.00051 |
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 8d 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.
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>
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.
- 8d ago First seen · 69 lines · 26 tokens per session scan A bfdc6f4e4e7f
play-insights is an agent published in the GitHub repository matheusbrramos/ProductFlow (2 stars, last pushed 5mo ago), licensed MIT. It adds 26 tokens to every session and 514 once invoked, about $0.0001 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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