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 skills/fazer-ai/agents-skills/agents-devnpx skills add fazer-ai/agents-skills --skill agents-devgit clone --depth 1 https://github.com/fazer-ai/agents-skillsWrote 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/skills/fazer-ai/agents-skills/agents-dev)<a href="https://agentmods.dev/skills/fazer-ai/agents-skills/agents-dev"><img src="https://agentmods.dev/badge/skills/fazer-ai/agents-skills/agents-dev.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 | $0.00121 | $0.00678 |
| Opus 5 | $0.00060 | $0.00339 |
| Sonnet 5 | $0.00024 | $0.00136 |
| Haiku 4.5 | $0.00012 | $0.00068 |
Grade A, and why
agents-dev 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 4d 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 — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Modo desenvolvedor do fazer.ai agents
Leva um desenvolvedor de "quero mexer no código" até "implementou com as boas práticas do projeto e, se quiser, gerou a própria imagem". Audiência: desenvolvedor, não operador. Para subir uma instância do zero use a skill agents-onboarding; para debugar/ajustar uma instância em produção use agents-operation.
⚠️ Distribuição: o Pro é privado
- O repositório Pro/Full (
fazer-ai/agents-pro) e a imagem Pro são privados. Nunca publique o código, a imagem, ou trechos exclusivos do Full em local público (gist, fork público, registry público, post, screenshot). - O acesso ao Pro é concedido individualmente. Vazar repo/imagem quebra esse modelo.
- Sugestões e contribuições vão para o repositório Free (open-source):
fazer-ai/agents. Abra issues/PRs lá.
Fluxo
- Obter o código (
references/00-get-the-code.md), bifurca por edição: Free clona o repo público (sem credencial); Pro clona via git proxy do hub (credencial per-user). - Layout + porta de qualidade (
references/01-layout-and-bun-check.md): mapa do repo,bun install/bun dev, o ciclobun check. - Aditividade + invariantes (
references/02-free-full-and-invariants.md): aditividade e onde estão as convenções e os docs por subsistema. - Implementação conduzida (
references/03-implement.md): perguntar o que implementar, desenhar desafiando premissas, implementar no estilo vizinho, validar. - Imagem própria + deploy (
references/04-own-image-and-deploy.md): gerar a própria imagem e plugá-la num deploy (casa com o Tier C daagents-onboarding).
Guardrails
Ver guardrails.md (Pro privado, segredos fora do repo, bun check verde) e gotchas.md (armadilhas de DB/RLS/CSP).
Skills irmãs
agents-onboarding: subir uma instância nova num VPS (do zero ao agente).agents-operation: debugar/ajustar uma instância em produção.
Pendências
- Wording de não-redistribuição (Pro): é conteúdo público-facing; confirmar a redação com a revisão de licenciamento.
What ships with it
7 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.
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.
- 4d ago First seen · 36 lines · 121 tokens per session scan A dc2290722b10
agents-dev is a skill published in the GitHub repository fazer-ai/agents-skills (5 stars, last pushed yesterday), licensed MIT. It adds 121 tokens to every session and 678 once invoked, about $0.0006 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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