DeskcommCRM is an open-source, self-hosted customer relationship management system for businesses that sell through chat, with AI agents that handle, qualify, and sell through WhatsApp. Businesses use it to manage conversations and sales while keeping the CRM and its data on their own server. The catalogue entries provide agents, instructions, skills, and commands for working with the project.
Borrowing it
Nothing to install: this file belongs to melgarafael/DeskcommCRM. 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/melgarafael/DeskcommCRM/main/CLAUDE.mdgit clone --depth 1 https://github.com/melgarafael/DeskcommCRMWrote 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/melgarafael/deskcommcrm/claude-md)<a href="https://agentmods.dev/instructions/melgarafael/deskcommcrm/claude-md"><img src="https://agentmods.dev/badge/instructions/melgarafael/deskcommcrm/claude-md/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/instructions/melgarafael/deskcommcrm/claude-md"><img src="https://agentmods.dev/badge/instructions/melgarafael/deskcommcrm/claude-md.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 | $0.18306 | $0.18306 |
| Opus 5.5 | $0.07322 | $0.07322 |
| Sonnet 5.5 | $0.03661 | $0.03661 |
| Haiku 4.5 | $0.01831 | $0.01831 |
Grade A, and why
DeskcommCRM CLAUDE.md scanned grade A with 1 finding 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 today.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Conta.** Prova pela tela, dirigindo o browser (Playwright), logando com conta de teste real. `curl`/chamada de API **não** provam UX — validam o backend, mas não o que o usuário vê, clica e entende. Use curl só como How it starts
The opening of the file, as written. The whole thing — 786 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — DeskcommCRM
Instruções pra futuras sessões Claude trabalhando neste repo. Leitura obrigatória antes de qualquer task de código.
Este arquivo é a doutrina — a autoridade final sobre convenção e anti-pattern. Complementos, na ordem em que ajudam:
AGENTS.md— mesmo contrato em forma portável (para Codex/Cursor/Copilot e afins). É derivado deste arquivo, não o substitui. Ao mudar doutrina aqui, verifique seAGENTS.mddesatualizou.docs/index.md— índice dos 149 docs, com regra de precedência quando dois docs discordam. Use antes de sair varrendodocs/.docs/current-state.md— o que está pronto, incompleto e quebrado. Leia antes de estimar ou prometer qualquer coisa.docs/harness-audit.md— onde a verificação tem buraco. Importante:pnpm gov:verifynão cobretest:dbnemtest:e2e— verde ali não é prova para mudança de schema ou de UI.docs/threat-model.md— superfície de ataque real do self-host.
Visão (1 parágrafo)
DeskcommCRM é um sistema operacional de vendas open source com agentes de IA nativos — multi-nicho (e-commerce, clínicas, imobiliárias, infoprodutos, serviços), com WhatsApp como canal primário (via WAHA). Agentes com RAG por tenant atendem, qualificam e movem o funil junto com humanos; CRM inteiro exposto via MCP. Monetização = self-host em VPS (parceria HostGator), não assinatura. Arquitetura multi-tenant com RLS desde o dia 1; LGPD nativa. Posicionamento completo: VISION.md.
Stack canônica
- Frontend: Next.js 16 App Router (Turbopack) + React 19 + TypeScript 6 estrito + Tailwind 4 (config em CSS — ver abaixo) + shadcn/ui (style:
new-york, neutral) - Backend: Next.js Route Handlers (mesmo repo); workers via
event_logtable + cron - DB: Supabase (Postgres). RLS em toda tabela tenant-aware. Extensions:
uuid-ossp,pgcrypto,vector - Auth: Supabase Auth via
@supabase/ssr. Cookie SameSite=Strict, HttpOnly, Secure - Realtime: Supabase Realtime (postgres_changes + broadcast)
- Storage: Supabase Storage (bucket
whatsapp-mediaprivado, URLs assinadas) - WhatsApp: WAHA Plus, engine NOWEB
- Filas/eventos:
event_logtable + workers (não usar Inngest/Trigger no MVP) - Rate limit: Upstash Redis sliding window
- AI: Vercel AI Gateway (Anthropic primário; embeddings pela OpenAI ou, por escolha da organização, pelo Google —
lib/ai/embeddings/chave.ts); strings tipo"anthropic/claude-sonnet-4-6" - Validação: Zod em todo input externo (request body, webhook payload, env)
- Observability: Sentry com
beforeSendsanitizado
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.
- today Changed · +30 tokens per session aaaaca45bdb9
- 9d ago Changed · +1 lines · +25 tokens per session d58a0d1685cf
- 22d ago Changed · +12 lines · +272 tokens per session 07980ae6aa94
- 29d ago Changed · +2 lines · +50 tokens per session 47b05104e8b2
- 1mo ago Changed · +29 tokens per session c437c7ee597c
- 1mo ago Changed · +1 lines · +264 tokens per session 63673deb028d
- 1mo ago Changed · +4 lines · +163 tokens per session d9b1b1baa993
- 1mo ago Changed · +172 tokens per session 4f403bb363df
- 1mo ago Changed · +34 lines · +792 tokens per session 1f6c96d0e57c
- 1mo ago First seen · 732 lines · 16,509 tokens per session scan A 339800dac870
DeskcommCRM CLAUDE.md is an instructions file published in the GitHub repository melgarafael/DeskcommCRM (5,198 stars, last pushed today), licensed MIT. It adds 18,306 tokens to every session, about $0.0732 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
DeskcommCRM CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| DeskcommCRM CLAUDE.mdmelgarafael/DeskcommCRM | Instructions file | 5.2k | today | MIT | A | 18,306 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |