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 skills add tatagoncalvesof/imperatriz-toolkit --skill lara-buildergit clone --depth 1 https://github.com/tatagoncalvesof/imperatriz-toolkitWrote 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/tatagoncalvesof/imperatriz-toolkit/lara-builder)<a href="https://agentmods.dev/skills/tatagoncalvesof/imperatriz-toolkit/lara-builder"><img src="https://agentmods.dev/badge/skills/tatagoncalvesof/imperatriz-toolkit/lara-builder/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/skills/tatagoncalvesof/imperatriz-toolkit/lara-builder"><img src="https://agentmods.dev/badge/skills/tatagoncalvesof/imperatriz-toolkit/lara-builder.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 | $0.00000 | $0.03553 |
| Opus 5 | $0.00000 | $0.01776 |
| Sonnet 5 | $0.00000 | $0.00711 |
| Haiku 4.5 | $0.00000 | $0.00355 |
Grade A, and why
lara-builder 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
5. Testar endpoint `/api/chat` com curl How it starts
The opening of the file, as written. The whole thing — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lara Builder — Vendedora IA Personalizada
Skill que cria uma vendedora IA completa (clone personalizado da "Lara") para qualquer produto digital. Gera projeto full-stack com widget de chat, backend com IA, dashboard de conversas, UTM tracking e deploy.
Trigger
Ativar quando o usuario pedir para:
- Criar uma vendedora IA / chatbot de vendas / assistente de vendas
- Criar uma "Lara" para o produto dele
/lara-builder- "quero uma vendedora no meu site"
- "cria um chat de vendas com IA"
- "quero um chatbot que vende"
Importante
- Cada execucao cria UMA vendedora para UM produto especifico
- O mesmo mentorado pode rodar a skill varias vezes para produtos diferentes
- Cada vendedora tem seu proprio projeto, banco, prompt e widget
- A skill SEMPRE comeca pelo onboarding — nunca pula etapas
Fluxo Completo (7 Fases)
FASE 1 — ONBOARDING (Coleta de Informacoes)
Fazer as perguntas UMA POR VEZ, esperando a resposta antes de prosseguir. Usar tom amigavel e direto.
Pergunta 1 — Nome da Vendedora: "Primeiro, vamos dar um nome pra sua vendedora IA! A da Tata se chama Lara. Qual nome voce quer dar pra sua? (Ex: Sofia, Clara, Bia, Ana...)"
Pergunta 2 — Seu Produto: "Qual e o seu produto? Me conta:
- Nome do produto
- O que ele entrega (resultado principal)
- Preco (ou faixa de preco)
- Link de checkout (Eduzz, Hotmart, Kiwify, etc)"
Pergunta 3 — Pagina de Vendas: "Me manda o link da sua pagina de vendas. Vou analisar ela completamente pra treinar sua vendedora com TUDO que ta la — headlines, beneficios, garantia, depoimentos, FAQ, tudo."
Pergunta 4 — Depoimentos: "Agora me indica onde estao seus depoimentos. Pode ser:
- Uma pasta no seu computador com prints/screenshots
- Links de videos no YouTube
- Textos copiados de WhatsApp/Instagram
- Tudo junto misturado — eu processo qualquer formato!
Se nao tem depoimentos ainda, tudo bem — a gente cria a vendedora sem e adiciona depois."
Pergunta 5 — Tom de Voz: "Como sua vendedora deve falar? Escolha o estilo:
- Amigavel e informal (como uma amiga no WhatsApp)
- Profissional e consultivo (como uma especialista)
- Energetico e motivacional (como uma coach)
- Outro (descreva como quer)
What ships with it
3 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.
- 10d ago First seen · 357 lines · 0 tokens per session scan A 9c0ef80bac20
lara-builder is a skill published in the GitHub repository tatagoncalvesof/imperatriz-toolkit (2 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,553 tokens. 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 2026-08-31.
Other skills, from other repositories
codex-setup
Initialize sd0x-dev-flow infrastructure for Codex CLI and other non-Claude agents. Generates AGENTS.md, installs the commit-msg hook, copies runner scripts. The pre-push gate is opt-in via --with-push-gate. Use when setting up a new project or after updating skills.
smart-rebase
Smart partial rebase for squash-merge repositories. Auto-detect which commits to keep/drop when base branch was squash-merged into target. Use when: user says 'rebase', 'partial rebase', 'base already merged', 'smart rebase', or /smart-rebase. Not for: simple git rebase (the developer runs it — Claude never executes…
runbook
Generate and update feature release runbooks from existing docs and codebase. Use when: creating operational runbook, release handbook, deployment checklist, pre-release preparation. Not for: incident response (v2), code review (use codex-code-review), architecture design (use architecture).
test-review
Test coverage review via Codex exec. Use when: reviewing test sufficiency, identifying coverage gaps, test quality audit. Not for: generating tests (use codex-test-gen), code review (use codex-code-review). Output: coverage analysis + gap report.
debug
Interactive debugging workflow with hypothesis-driven probe loop. Use when: unknown bugs, script errors, silent failures, troubleshooting. Not for: known bugs (use bug-fix), GitHub issue analysis (use issue-analyze), code understanding (use code-explore). Output: debug report with probe journal + root cause + fix.
feature-dev
Feature development workflow. Use when: implementing features, writing code, running dev loop. Not for: understanding code (use code-explore), reviewing code (use codex-code-review). Output: implemented feature + tests + review gate.