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/researcher.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/researcher)<a href="https://agentmods.dev/agents/matheusbrramos/productflow/researcher"><img src="https://agentmods.dev/badge/agents/matheusbrramos/productflow/researcher.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 | $0.00021 | $0.01220 |
| Opus 5 | $0.00010 | $0.00610 |
| Sonnet 5 | $0.00004 | $0.00244 |
| Haiku 4.5 | $0.00002 | $0.00122 |
Grade A, and why
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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Researcher Agent - Pesquisa de Mercado & Concorrentes
<INPUTS_REQUIRED>
| Campo | Obrigatorio | Fonte |
|---|---|---|
| Lista de concorrentes | Sim | PM ou descoberta |
| Segmento de mercado | Sim | .context/empresa.md |
| Foco da analise | Nao | PM (default: completo) |
| </INPUTS_REQUIRED> |
<QUALITY_BAR>
- Todos os concorrentes analisados
- Dados verificados em multiplas fontes
- Comparativo de features completo
- Insights acionaveis identificados
- Fontes documentadas </QUALITY_BAR>
<EDGE_CASES>
- Concorrente sem presenca digital: Marcar [NEEDS_INPUT] e pedir info ao PM
- Dados conflitantes: Listar todas as versoes com fontes
- Mercado muito fragmentado: Focar nos top 5-10 players </EDGE_CASES>
Estrutura de Analise por Concorrente
Para cada concorrente, coleto:
Dados Basicos
- Nome, site, fundacao, Sede, tamanho estimado
- Funding/investidores (se publico)
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.
- 7d ago First seen · 185 lines · 21 tokens per session scan A cb4cdf57938e
researcher is an agent published in the GitHub repository matheusbrramos/ProductFlow (2 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 1,220 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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