What is airtable-automation?

A set of instructions for connecting an AI coding agent to Airtable, a service for storing data in spreadsheet-like tables, and managing its bases, tables, fields, views, and records.

Creating, reading, updating, deleting, listing, and filtering Airtable records, as well as inspecting bases and table schemas.

It removes the need to manually navigate Airtable or guess its current connection and data structure. It also requires checking the available tools and connection before running an operation.

airtable-automation — Skill for Claude Code by aAAaqwq

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 aAAaqwq/AGI-Super-Team --skill airtable-automation

Clone the repo

git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team

Made for: Claude Code.

Or install agi-super-team, the plugin that ships this one along with the rest of its 194 skills, 1 agent.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/airtable-automation/github.svg)](https://agentmods.dev/skills/aaaaqwq/agi-super-team/airtable-automation)

Your own site

<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/airtable-automation"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/airtable-automation/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/airtable-automation"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/airtable-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,707 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 92% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00037	$0.01707
Opus 5	$0.00018	$0.00853
Sonnet 5	$0.00007	$0.00341
Haiku 4.5	$0.00004	$0.00171

Measured 11d ago against content hash 527da0f95e4e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

airtable-automation 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 11d 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.

Origin

This is a copy

92% identical to airtable-automation — 20 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/airtable-automation/SKILL.md · 171 lines

How it starts

The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Airtable Automation via Rube MCP

Automate Airtable operations through Composio's Airtable toolkit via Rube MCP.

Prerequisites

Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
Active Airtable connection via RUBE_MANAGE_CONNECTIONS with toolkit airtable
Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
Call RUBE_MANAGE_CONNECTIONS with toolkit airtable
If connection is not ACTIVE, follow the returned auth link to complete Airtable auth
Confirm connection status shows ACTIVE before running any workflows

Core Workflows

1. Create and Manage Records

When to use: User wants to create, read, update, or delete records

Tool sequence:

AIRTABLE_LIST_BASES - Discover available bases [Prerequisite]
AIRTABLE_GET_BASE_SCHEMA - Inspect table structure [Prerequisite]
AIRTABLE_LIST_RECORDS - List/filter records [Optional]
AIRTABLE_CREATE_RECORD / AIRTABLE_CREATE_RECORDS - Create records [Optional]
AIRTABLE_UPDATE_RECORD / AIRTABLE_UPDATE_MULTIPLE_RECORDS - Update records [Optional]
AIRTABLE_DELETE_RECORD / AIRTABLE_DELETE_MULTIPLE_RECORDS - Delete records [Optional]

Key parameters:

baseId: Base ID (starts with 'app', e.g., 'appXXXXXXXXXXXXXX')
tableIdOrName: Table ID (starts with 'tbl') or table name
fields: Object mapping field names to values
recordId: Record ID (starts with 'rec') for updates/deletes
filterByFormula: Airtable formula for filtering
typecast: Set true for automatic type conversion

Pitfalls:

pageSize capped at 100; uses offset pagination; changing filters between pages can skip/duplicate rows
CREATE_RECORDS hard limit of 10 records per request; chunk larger imports
Field names are CASE-SENSITIVE and must match schema exactly
422 UNKNOWN_FIELD_NAME when field names are wrong; 403 for permission issues
INVALID_MULTIPLE_CHOICE_OPTIONS may require typecast=true

Read the full file on GitHub · 171 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.

11d ago First seen · 171 lines · 37 tokens per session scan A 527da0f95e4e

Subscribe to this mod's changes

airtable-automation is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 1,707 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to airtable-automation, differing in 20 lines, and is treated as a copy.

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