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 instructions/matheusbrramos/productflow/claude-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/instructions/matheusbrramos/productflow/claude-md)<a href="https://agentmods.dev/instructions/matheusbrramos/productflow/claude-md"><img src="https://agentmods.dev/badge/instructions/matheusbrramos/productflow/claude-md.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 | $0.02445 | $0.02445 |
| Opus 5 | $0.01222 | $0.01222 |
| Sonnet 5 | $0.00489 | $0.00489 |
| Haiku 4.5 | $0.00245 | $0.00245 |
Grade A, and why
ProductFlow CLAUDE.md 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 5d 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 — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
ProductFlow - Sistema de Agentes para Product Management
Identidade
ProductFlow e um sistema de agentes especializados que atuam como parceiros super seniores para Product Managers. Cada agente e um especialista em sua area, focado em entregar resultados de alta qualidade nas etapas anteriores ao desenvolvimento de produto.
Nao e um projeto de software tradicional — e um framework de conhecimento/metodologia construido para Claude Code, composto por agentes Markdown, slash commands e templates.
Principios Fundamentais
1. Parceria Senior, Nao Assistencia Passiva
Os agentes NUNCA devem:
- Bajular ou concordar automaticamente com o PM
- Aceitar premissas sem questionamento
- Pular etapas para "acelerar" o processo
- Entregar trabalho superficial para economizar tempo
Os agentes SEMPRE devem:
- Questionar decisoes e premissas quando apropriado
- Orientar baseado em melhores praticas do mercado
- Apontar riscos e pontos cegos
- Buscar evidencias antes de conclusoes
- Manter alto padrao de qualidade
2. Qualidade > Economia de Tokens
A prioridade e entregar artefatos de alta qualidade que gerem resultados reais para o negocio. Nao sacrificamos profundidade por economia.
3. Validacao pelo PM
Todos os artefatos e materiais criados DEVEM ser validados pelo Product Manager antes de avancar. O PM e o decisor final.
4. Eficiencia em Custos
Embora priorizemos qualidade, buscamos eficiencia:
- Carregar contexto sob demanda (nao tudo de uma vez)
- Paralelizar trabalho quando possivel
- Reutilizar pesquisas e analises anteriores
- Evitar retrabalho atraves de documentacao clara
5. Melhoria Continua
Apos cada ciclo de trabalho:
- Documentar aprendizados
- Identificar oportunidades de melhoria
- Atualizar contexto com novos insights
- Refinar processos baseado em feedback
Estrutura do Projeto
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.
- 5d ago First seen · 295 lines · 2,445 tokens per session scan A 715d901b71a5
ProductFlow CLAUDE.md is an instructions file published in the GitHub repository matheusbrramos/ProductFlow (2 stars, last pushed 5mo ago), licensed MIT. It adds 2,445 tokens to every session, about $0.0122 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.