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agents-onboarding

agents-onboarding is a skill for Claude Code from fazer-ai/agents-skills. It costs 196 tokens per session (4,714 once invoked), scanned A, original, MIT.

A guided setup for deploying a customer-service AI agent and its supporting services on a VPS, using a cloud provider and a service-management panel.

In plain words
What is it for?
Use it to provision DNS and SSH, deploy Chatwoot, fazer.ai agents, and Langfuse with secure connections, configure the agent, and test the full setup.
Why use it?
It moves from an empty server to a tested agent connected to a real conversation inbox, while covering the required access and deployment choices.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool; mentions Claude Code; mentions Codex.

Part of the agents plugin — 3 skills shipped together

not rated 5repo changed 6d ago A scan 196 tokens original MIT

Good fit Use it to provision DNS and SSH, deploy Chatwoot, fazer.ai agents, and Langfuse with secure connections, configure the agent, and test the full setup.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fazer-ai/agents-skills/agents-onboarding
View source ↗ fazer-ai/agents-skills
Install

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.

Any agent
npx skills add fazer-ai/agents-skills --skill agents-onboarding
Clone the repo
git clone --depth 1 https://github.com/fazer-ai/agents-skills

Made for: Claude Code.

Or install agents, the plugin that ships this one along with the rest of its 3 skills.

Wrote 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.

agentmods badge for agents-onboarding

README.md
[![agentmods](https://agentmods.dev/badge/skills/fazer-ai/agents-skills/agents-onboarding/github.svg)](https://agentmods.dev/skills/fazer-ai/agents-skills/agents-onboarding)
Your own site
<a href="https://agentmods.dev/skills/fazer-ai/agents-skills/agents-onboarding"><img src="https://agentmods.dev/badge/skills/fazer-ai/agents-skills/agents-onboarding/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.

agentmods 80×15 button for agents-onboarding

Your own site · 80×15
<a href="https://agentmods.dev/skills/fazer-ai/agents-skills/agents-onboarding"><img src="https://agentmods.dev/badge/skills/fazer-ai/agents-skills/agents-onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 196 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,714 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00196 $0.04714
Opus 5 $0.00098 $0.02357
Sonnet 5 $0.00039 $0.00943
Haiku 4.5 $0.00020 $0.00471

Measured 6d ago against content hash d7c83f218eb4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

agents-onboarding 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 6d ago.

The scan reads SKILL.md. This mod also ships 10 executable files (scripts/chatwoot-admin.py, scripts/coolify.py, scripts/docker-status.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/agents-onboarding/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Onboarding fazer.ai agents: do zero ao agente (multi-plataforma)

Leva uma VPS de "nada" até "agente de atendimento de IA rodando, testado e plugado numa caixa de entrada real". Esta skill é o bundle executado pelo agente (você): opera o VPS via SSH + a API do orquestrador escolhido (Coolify / Portainer / compose genérico), e controla o fazer.ai agents via MCP (OAuth, dry-run + audit).

Enquadre a jornada em 4 fases (diga isso ao usuário no começo)

No início, resuma pro usuário o caminho em 4 fases, pra ele saber onde está e o que vem. Use estas palavras (não os nomes técnicos das etapas):

  1. O agente: a ferramenta que conduz o onboarding (esta, que ele já escolheu) e os acessos que ela precisa (VPS, domínio) prontos.
  2. Onde hospedar: subir a base na infraestrutura dele, o provedor de nuvem + o painel que gerencia os serviços.
  3. O Chatwoot: a plataforma de atendimento onde as conversas acontecem.
  4. Configurar o agente: importar o agente de IA, ligar na caixa de entrada e testar de ponta a ponta.

É um mapa pro usuário, não o roteiro técnico: as etapas numeradas abaixo (0 a 10) são o seu passo a passo e detalham essas fases. Ao virar de fase, avise ("terminamos de preparar os acessos; agora vou escolher onde hospedar e subir a base") pra a jornada não parecer uma caixa-preta.

Antes de qualquer coisa

  1. Leia guardrails.md inteiro. Tem fronteiras duras (só a VPS e o domínio indicados, licença única do hub, MCP dry-run, nada de produção de terceiros, nada de segredo em log). Cruzar qualquer uma é parar e perguntar.
  2. Leia gotchas.md. São as armadilhas conhecidas que, se ignoradas, fazem você redescobrir do jeito difícil (FQDN que não dirige o Traefik, embedding por-tenant, Langfuse sem blob storage, persistência de branding etc.).
  3. Confira pré-requisitos em references/00-prereqs-and-access.md: MCPs ligados (Hostinger ×3; o hub app-fazer-ai não é MCP da sessão, suas ops saem pelo proxy bunx @fazer-ai/agents hub …), acesso SSH, e o contrato do ambiente.

Read the full file on GitHub · 81 lines

Files

What ships with it

43 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 6d ago Changed · +41 tokens per session d7c83f218eb4
  2. 10d ago First seen · 81 lines · 155 tokens per session scan A 8270824ee60f

Subscribe to this mod's changes

agents-onboarding is a skill published in the GitHub repository fazer-ai/agents-skills (5 stars, last pushed 3d ago), licensed MIT. It adds 196 tokens to every session and 4,714 once invoked, about $0.0010 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.

Building agentsCloudDevOps and cloud
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