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 cass-2003/local-workflow-skill --skill airtable-overviewgit clone --depth 1 https://github.com/cass-2003/local-workflow-skillWrote 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/cass-2003/local-workflow-skill/airtable-overview)<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/airtable-overview"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/airtable-overview/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/cass-2003/local-workflow-skill/airtable-overview"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/airtable-overview.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 | $0.00045 | $0.00411 |
| Opus 5 | $0.00023 | $0.00205 |
| Sonnet 5 | $0.00009 | $0.00082 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
airtable-overview 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 6d 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
95% identical to airtable-overview — 4 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.
What it actually says
Airtable Overview
Airtable is a no-code platform where teams build custom applications and AI-powered workflows from structured data. Users organize their data into bases, define tables with typed fields, set up automations to act on changes, and create interfaces that give different audiences tailored views of the same data.
Data model
Bases
A base is an Airtable database. It is the top-level container for all related data. A base contains one or more tables.
Tables
A table is a collection of structured data within a base, similar to a sheet in a spreadsheet or a table in a relational database. Each table has a defined set of fields and contains records.
Fields
A field defines a named, typed property on every record in a table.
Records
A record is a single entry in a table. Each record has a unique ID and stores a cell value for each field defined on that table.
Views
A view is a saved configuration for how to display records in a table. Views can filter, sort, group, and hide fields without changing the underlying data. Multiple views can exist on the same table, each showing the data differently.
Automations
An automation is a workflow that runs in response to a defined trigger (e.g. a record entering a view) and executes one or more actions (e.g. sending an email or updating a record).
Interfaces
Interfaces are custom app-like pages built on top of base data. They provide tailored, user-friendly ways to view and interact with records without exposing the full base structure or all of its data. A base can have multiple interfaces, each designed for a specific workflow or audience.
Some users can only access a base through its interfaces and cannot read or modify the underlying tables directly.
What ships with it
1 file 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.
- 6d ago First seen · 41 lines · 45 tokens per session scan A 3d093ad7552d
airtable-overview is a skill published in the GitHub repository cass-2003/local-workflow-skill (12 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 411 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to airtable-overview, differing in 4 lines, and is treated as a copy.
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