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/commands/research.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/commands/matheusbrramos/productflow/research)<a href="https://agentmods.dev/commands/matheusbrramos/productflow/research"><img src="https://agentmods.dev/badge/commands/matheusbrramos/productflow/research/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.
<a href="https://agentmods.dev/commands/matheusbrramos/productflow/research"><img src="https://agentmods.dev/badge/commands/matheusbrramos/productflow/research.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00009 | $0.00544 |
| Opus 5.5 | $0.00004 | $0.00218 |
| Sonnet 5.5 | $0.00002 | $0.00109 |
| Haiku 4.5 | $0.00001 | $0.00054 |
Grade A, and why
research 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.
What it actually says
/research - Pesquisa de Mercado e Concorrentes
Realiza pesquisa de mercado e analise competitiva usando o agente Researcher.
Entrada
$ARGUMENTS
Se nenhum argumento for fornecido, perguntar o que pesquisar:
- Lista de concorrentes para analise competitiva
- Segmento de mercado para sizing (TAM/SAM/SOM)
- Tema para tendencias
Pre-requisitos
Verificar se .context/empresa.md existe. Se nao existir, orientar a rodar /setup primeiro.
O que fazer
Para Analise de Concorrentes
- Identificar concorrentes (da entrada ou pesquisar)
- Para cada concorrente, coletar:
- Dados basicos (fundacao, sede, tamanho)
- Produto (features, precos, tecnologia)
- Posicionamento (publico-alvo, diferenciais)
- Presenca digital (reviews, notas, redes)
- Analise critica (forcas, fraquezas)
- Criar comparativo consolidado
- Identificar gaps e oportunidades
Para Market Sizing
- Pesquisar TAM (Total Addressable Market)
- Calcular SAM (Serviceable Addressable Market)
- Estimar SOM (Serviceable Obtainable Market)
- Documentar metodologia e fontes
Para Tendencias
- Identificar tendencias em alta
- Mapear tendencias em declinio
- Destacar tendencias emergentes
Output
Criar arquivo com formato: docs/research/{tema}-YYYY-MM-DD.md
Para analise competitiva, tambem criar/atualizar: .context/competidores-{projeto}.md
Estrutura do Output
# [Titulo da Pesquisa]
**Data:** YYYY-MM-DD
**Analista:** /research
**Fontes:** [N] sites consultados
## Sumario Executivo
[Principais insights]
## [Conteudo especifico do tipo de pesquisa]
## Oportunidades Identificadas
## Recomendacoes
## Fontes Consultadas
Proximos passos sugeridos
/discovery- Pesquisa de usuarios/prd <feature>- Criar especificacao
Exemplos
/research Eventbrite, Ingresse, Tickets For Fun
/research "plataformas de ticketing no Brasil"
/research sizing "SaaS de RH no Brasil"
/research trends "eventos hibridos"
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.
- 2mo ago First seen · 87 lines · 9 tokens per session scan A 5140698e09c2
research is a command published in the GitHub repository matheusbrramos/ProductFlow (2 stars, last pushed 7mo ago), licensed MIT. It adds 9 tokens to every session and 544 once invoked, about $0.0000 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.
research compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| researchmatheusbrramos/ProductFlow | Command | 2 | 7mo ago | MIT | A | 9 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |