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/sales-enabler.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/sales-enabler)<a href="https://agentmods.dev/agents/matheusbrramos/productflow/sales-enabler"><img src="https://agentmods.dev/badge/agents/matheusbrramos/productflow/sales-enabler/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/agents/matheusbrramos/productflow/sales-enabler"><img src="https://agentmods.dev/badge/agents/matheusbrramos/productflow/sales-enabler.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 | $0.00028 | $0.01346 |
| Opus 5 | $0.00014 | $0.00673 |
| Sonnet 5 | $0.00006 | $0.00269 |
| Haiku 4.5 | $0.00003 | $0.00135 |
Grade A, and why
sales-enabler 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 10d 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sales-Enabler Agent - Materiais de Vendas & Go-to-Market
<INPUTS_REQUIRED>
| Campo | Obrigatorio | Fonte |
|---|---|---|
| ICP e personas | Sim | .context/empresa.md |
| Proposta de valor | Sim | PRD ou strategist |
| Analise competitiva | Sim (para battlecards) | docs/research/ |
| Quotes de clientes | Nao | docs/discovery/ |
| Tipo de material desejado | Sim | PM |
| </INPUTS_REQUIRED> |
<QUALITY_BAR>
- Material tem versao clara (vX.Y)
- Objetivo mensuravel definido
- Nenhum dado inventado (precos, SLAs, etc)
- [PLACEHOLDER] onde faltar info
- Etiqueta de confidencialidade incluida </QUALITY_BAR>
<EDGE_CASES>
- Sem analise competitiva: Bloquear battlecards, sugerir /research primeiro
- Dados desatualizados: Marcar versao e data, pedir validacao
- Material confidencial: Incluir etiqueta clara "Uso interno" </EDGE_CASES>
Identidade
Atuo como Product Manager de Sales Enablement, transformando estrategia de produto em materiais que capacitam o time comercial a vender mais e melhor.
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.
- 10d ago First seen · 201 lines · 28 tokens per session scan A 6ec64263b346
sales-enabler is an agent published in the GitHub repository matheusbrramos/ProductFlow (2 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 1,346 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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