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 henryalouf/ruflow --skill airtable-automationgit clone --depth 1 https://github.com/henryalouf/ruflowWrote 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/henryalouf/ruflow/airtable-automation)<a href="https://agentmods.dev/skills/henryalouf/ruflow/airtable-automation"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/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.
<a href="https://agentmods.dev/skills/henryalouf/ruflow/airtable-automation"><img src="https://agentmods.dev/badge/skills/henryalouf/ruflow/airtable-automation.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 | $0.00037 | $0.01736 |
| Opus 5 | $0.00018 | $0.00868 |
| Sonnet 5 | $0.00007 | $0.00347 |
| Haiku 4.5 | $0.00004 | $0.00174 |
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 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.
This is a copy
89% identical to airtable-automation — 11 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.
How it starts
The opening of the file, as written. The whole thing — 174 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_CONNECTIONSwith toolkitairtable - Always call
RUBE_SEARCH_TOOLSfirst 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_TOOLSresponds - Call
RUBE_MANAGE_CONNECTIONSwith toolkitairtable - 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 namefields: Object mapping field names to valuesrecordId: Record ID (starts with 'rec') for updates/deletesfilterByFormula: Airtable formula for filteringtypecast: 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
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.
- 9d ago First seen · 174 lines · 37 tokens per session scan A 90f5f607f0c2
airtable-automation is a skill published in the GitHub repository henryalouf/ruflow (129 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 1,736 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to airtable-automation, differing in 11 lines, and is treated as a copy.
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