carregar-leads-no-airtable

carregar-leads-no-airtable is a skill for Claude Code, Codex from gethouston/houston. It costs 112 tokens per session (2,082 once invoked), scanned A, original, MIT.

A bulk loader that creates an Airtable table for lead tracking and fills it from a JSON file produced by scraping. Airtable is a spreadsheet-like database; leads are potential customers or contacts.

In plain words
What is it for?
Use it to create the standard lead table and import records containing details such as profile URLs and names.
Why use it?
It removes the repetitive work of creating the tracking structure and entering many lead records one by one.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to create the standard lead table and import records containing details such as profile URLs and names.

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Install with agentmods
npx agentmods add skills/gethouston/houston/carregar-leads-no-airtable
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 gethouston/houston --skill carregar-leads-no-airtable
Clone the repo
git clone --depth 1 https://github.com/gethouston/houston

Made for: Claude Code, Codex.

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 carregar-leads-no-airtable

README.md
[![agentmods](https://agentmods.dev/badge/skills/gethouston/houston/carregar-leads-no-airtable/github.svg)](https://agentmods.dev/skills/gethouston/houston/carregar-leads-no-airtable)
Your own site
<a href="https://agentmods.dev/skills/gethouston/houston/carregar-leads-no-airtable"><img src="https://agentmods.dev/badge/skills/gethouston/houston/carregar-leads-no-airtable/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 carregar-leads-no-airtable

Your own site · 80×15
<a href="https://agentmods.dev/skills/gethouston/houston/carregar-leads-no-airtable"><img src="https://agentmods.dev/badge/skills/gethouston/houston/carregar-leads-no-airtable.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,082 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00112 $0.02082
Opus 5 $0.00056 $0.01041
Sonnet 5 $0.00022 $0.00416
Haiku 4.5 $0.00011 $0.00208

Measured 9d ago against content hash 261f604d4092, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

carregar-leads-no-airtable 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 9d 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.

store/agents-i18n/pt/outbound/.agents/skills/carregar-leads-no-airtable/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Carregador de Leads no Airtable

Crio uma tabela nova no Airtable para uma lista de leads, com todas as colunas que o resto do pipeline precisa já em vigor, e depois carrego cada registro em lote. Uso agentes em paralelo porque o Airtable impõe um limite de um registro por chamada de criação, carregar 500 registros de forma serial levaria de 8 a 10 minutos; 4 agentes em paralelo reduzem isso para 2 a 3 minutos.

Quando usar

  • "Carregue esses leads no Airtable: ".
  • "Crie uma nova tabela no Airtable para esse scraping".
  • Fase 2 de qualquer um dos dois pipelines do LinkedIn (chamada pelo orquestrador).
  • Você tem uma lista de leads em JSON de qualquer origem e quer colocá-los no Airtable com o esquema padrão do pipeline.

Conexões de que preciso

  • Airtable (banco de dados) - Obrigatória. Listo as bases, crio a tabela e carrego os registros pela API REST do Airtable via Composio.

Se o Airtable não estiver conectado, eu paro e peço para você conectá-lo na aba Integrações.

Informações de que preciso

  • O arquivo de origem com os leads - Obrigatório. Array JSON de objetos. No mínimo, cada linha precisa de profileUrl e fullName. Opcional: headline, commentText, reactionCount, location, connectionsCount, experience, education, skills. Se estiver faltando, eu pergunto: "Onde está a lista de leads? Me passe o caminho de um arquivo JSON ou cole o array."
  • A base do Airtable - Obrigatória. Se você tiver só uma base, eu a uso. Se tiver várias, eu listo e pergunto qual delas. Se estiver faltando, eu pergunto: "Em qual base do Airtable devo criar a nova tabela?"
  • Um nome para a tabela - Opcional. O padrão é LinkedIn {sourceType} - {author} - {YYYY-MM-DD}, onde sourceType é "Commenters" ou "Reactors". Substitua por chamada se você tiver uma convenção de nomes própria.

O esquema da tabela

Crio a tabela com estes campos. Os tipos de campo seguem as convenções da API REST do Airtable.

Identificação do lead (sempre preenchido no carregamento):

  • Full Name (singleLineText)
  • Profile URL (url)
  • Headline (singleLineText)
  • Source Type (singleSelect: "comment", "reaction")
  • Source Post URL (url)
  • Source Author (singleLineText)
  • Scraped At (dateTime)

Read the full file on GitHub · 113 lines

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. 9d ago First seen · 113 lines · 112 tokens per session scan A 261f604d4092

Subscribe to this mod's changes

carregar-leads-no-airtable is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed today), licensed MIT. It adds 112 tokens to every session and 2,082 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 2026-09-03.

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