airtable

A connection to Airtable, an online database made of bases, tables, records, and fields, through its REST API.

In plain words
What is it for?
Reading, creating, updating, deleting, filtering, and upserting Airtable records, as well as inspecting bases and tables.
Why use it?
It lets an agent read and change Airtable data from the terminal using HTTP requests, without requiring a Python library or separate server.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/starrycod/cogitum/airtable
Any agent
npx skills add StarryCod/cogitum --skill airtable
Clone the repo
git clone --depth 1 https://github.com/StarryCod/cogitum

Made for: Claude Code, Codex.

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,239 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00019 $0.03239
Opus 5 $0.00010 $0.01620
Sonnet 5 $0.00004 $0.00648
Haiku 4.5 $0.00002 $0.00324

Measured 2d ago against content hash 6712d049673e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

airtable 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 2d 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.

description: Airtable REST API via curl. Records CRUD, filters, upserts.
Origin

Copies of this mod

2 near-identical copies found in the catalogue:

  • airtable — 97% identical, 12 lines differ
  • airtable — 95% identical, 14 lines differ
cogitum/data/skills/productivity/airtable/SKILL.md · 230 lines

How it starts

The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Airtable — Bases, Tables & Records

Work with Airtable's REST API directly via curl using the terminal tool. No MCP server, no OAuth flow, no Python SDK — just curl and a personal access token.

Prerequisites

  1. Create a Personal Access Token (PAT) at https://airtable.com/create/tokens (tokens start with pat...).
  2. Grant these scopes (minimum):
    • data.records:read — read rows
    • data.records:write — create / update / delete rows
    • schema.bases:read — list bases and tables
  3. Important: in the same token UI, add each base you want to access to the token's Access list. PATs are scoped per-base — a valid token on the wrong base returns 403.
  4. Store the token in ~/.config/cogitum/.env (or via cog setup):
    AIRTABLE_API_KEY=pat_your_token_here
    

Note: legacy key... API keys were deprecated Feb 2024. Only PATs and OAuth tokens work now.

API Basics

  • Endpoint: https://api.airtable.com/v0
  • Auth header: Authorization: Bearer $AIRTABLE_API_KEY
  • All requests use JSON (Content-Type: application/json for any POST/PATCH/PUT body).
  • Object IDs: bases app..., tables tbl..., records rec..., fields fld.... IDs never change; names can. Prefer IDs in automations.
  • Rate limit: 5 requests/sec/base. 429 → back off. Burst on a single base will be throttled.

Base curl pattern:

curl -s "https://api.airtable.com/v0/$BASE_ID/$TABLE?maxRecords=5" \
  -H "Authorization: Bearer $AIRTABLE_API_KEY" | python3 -m json.tool

-s suppresses curl's progress bar — keep it set for every call so the tool output stays clean for Cogitum. Pipe through python3 -m json.tool (always present) or jq (if installed) for readable JSON.

Field Types (request body shapes)

Field type Write shape
Single line text "Name": "hello"
Long text "Notes": "multi\nline"
Number "Score": 42
Checkbox "Done": true
Single select "Status": "Todo" (name must already exist unless typecast: true)
Multi-select "Tags": ["urgent", "bug"]
Date "Due": "2026-04-01"
DateTime (UTC) "At": "2026-04-01T14:30:00.000Z"
URL / Email / Phone "Link": "https://…"
Attachment "Files": [{"url": "https://…"}] (Airtable fetches + rehosts)
Linked record "Owner": ["recXXXXXXXXXXXXXX"] (array of record IDs)
User "AssignedTo": {"id": "usrXXXXXXXXXXXXXX"}

Read the full file on GitHub · 230 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. 2d ago First seen · 230 lines · 19 tokens per session scan A 6712d049673e

Subscribe to this mod's changes

airtable is a skill published in the GitHub repository StarryCod/cogitum (11 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 3,239 once invoked, about $0.0001 per session on Opus 5. 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 2026-08-30.

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