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/discovery.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/discovery)<a href="https://agentmods.dev/commands/matheusbrramos/productflow/discovery"><img src="https://agentmods.dev/badge/commands/matheusbrramos/productflow/discovery/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/discovery"><img src="https://agentmods.dev/badge/commands/matheusbrramos/productflow/discovery.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 | $0.00011 | $0.00657 |
| Opus 5.5 | $0.00004 | $0.00263 |
| Sonnet 5.5 | $0.00002 | $0.00131 |
| Haiku 4.5 | $0.00001 | $0.00066 |
Grade A, and why
discovery 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.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/discovery - Analise de Usuarios
Realiza pesquisa qualitativa de usuarios usando o agente Discovery.
Entrada
$ARGUMENTS
Se nenhum argumento for fornecido, perguntar:
- Qual acao deseja? (analyze, interview, ost, jtbd, synthesize)
- Quais dados ou contexto fornecer?
Pre-requisitos
Verificar se .context/empresa.md existe. Se nao existir, orientar a rodar /setup primeiro.
Acoes Disponiveis
analyze
Analisa transcricoes de entrevistas, surveys ou dados qualitativos.
O que fazer:
- Processar dados fornecidos
- Extrair quotes relevantes
- Identificar padroes (critico, importante, relevante)
- Mapear Jobs-to-be-Done
- Sugerir oportunidades
interview
Prepara guia de entrevista para um perfil especifico.
O que fazer:
- Definir objetivo da entrevista
- Criar estrutura (abertura, contexto, experiencia, momento critico)
- Incluir dicas de conducao
- Gerar perguntas no formato correto (comportamento, nao hipotetico)
ost
Cria ou atualiza Opportunity Solution Tree.
O que fazer:
- Definir outcome de negocio
- Mapear oportunidades dos usuarios
- Listar solucoes por oportunidade
- Sugerir experimentos de validacao
jtbd
Mapeia Jobs-to-be-Done de um segmento.
O que fazer:
- Identificar job principal
- Mapear jobs secundarios
- Usar formato: QUANDO [situacao] QUERO [motivacao] PARA QUE [resultado]
synthesize
Consolida todos os insights de discovery em um documento.
Output
Criar arquivo com formato: docs/discovery/{tema}-YYYY-MM-DD.md
Estrutura do Output
# Analise de Discovery - [Tema]
**Data:** YYYY-MM-DD
**Entrevistas:** N
**Perfil:** [descricao]
## Jobs-to-be-Done
### Job Principal
### Jobs Relacionados
## Padroes Identificados
### Critico (N/N mencionaram)
### Importante (N/N mencionaram)
### Relevante (N/N mencionaram)
## Oportunidades
## Recomendacoes
## Anexo: Quotes
Proximos passos sugeridos
/prd <feature>- Criar especificacao/research- Complementar com pesquisa de mercado
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 · 106 lines · 11 tokens per session scan A 944fbe148fb3
discovery is a command published in the GitHub repository matheusbrramos/ProductFlow (2 stars, last pushed 7mo ago), licensed MIT. It adds 11 tokens to every session and 657 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.
discovery compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| discoverymatheusbrramos/ProductFlow | Command | 2 | 7mo ago | MIT | A | 11 | 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 |