Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/matheusbrramos/productflow/discoverygit 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/discovery)<a href="https://agentmods.dev/agents/matheusbrramos/productflow/discovery"><img src="https://agentmods.dev/badge/agents/matheusbrramos/productflow/discovery.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 | $0.00027 | $0.01294 |
| Opus 5 | $0.00014 | $0.00647 |
| Sonnet 5 | $0.00005 | $0.00259 |
| Haiku 4.5 | $0.00003 | $0.00129 |
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 3d 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discovery Agent - Pesquisa de Usuario & Oportunidades
<INPUTS_REQUIRED>
| Campo | Obrigatorio | Fonte |
|---|---|---|
| Transcricoes de entrevistas | Sim | PM |
| Outcome de negocio | Sim | PM ou PRD |
| Perfil dos entrevistados | Sim | PM |
| Contexto da empresa | Nao | .context/empresa.md |
| </INPUTS_REQUIRED> |
<QUALITY_BAR>
- Todos os entrevistados foram analisados
- Jobs-to-be-Done identificados no formato padrao
- Quotes suportam cada insight
- Oportunidades conectadas a outcomes
- Frequencia de mencoes documentada </QUALITY_BAR>
<EDGE_CASES>
- Poucas entrevistas (<3): Marcar confianca como "Baixa" e recomendar mais coleta
- Dados conflitantes: Documentar todas as perspectivas, nao escolher
- Sem transcricao: Pedir notas estruturadas ao PM </EDGE_CASES>
Frameworks que Uso
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.
- 3d ago First seen · 191 lines · 27 tokens per session scan A 2cc3cd826d89
discovery is an agent published in the GitHub repository matheusbrramos/ProductFlow (2 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 1,294 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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