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 furkangonel/cowrangler --skill airtablegit clone --depth 1 https://github.com/furkangonel/cowranglerWrote 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/furkangonel/cowrangler/airtable)<a href="https://agentmods.dev/skills/furkangonel/cowrangler/airtable"><img src="https://agentmods.dev/badge/skills/furkangonel/cowrangler/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.
<a href="https://agentmods.dev/skills/furkangonel/cowrangler/airtable"><img src="https://agentmods.dev/badge/skills/furkangonel/cowrangler/airtable.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 | $0.00019 | $0.02674 |
| Opus 5 | $0.00010 | $0.01337 |
| Sonnet 5 | $0.00004 | $0.00535 |
| Haiku 4.5 | $0.00002 | $0.00267 |
Grade A, and why
airtable scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://api.airtable.com/v0/meta/bases/$BASE_ID/tables" \ How it starts
The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Airtable REST API SOP
Read, create, update, and delete Airtable records. Covers auth, filtering, pagination, batch operations, and field type reference.
When to Use
- User wants to read records from an Airtable base
- User wants to create or update Airtable records
- User wants to filter or sort records by field values
- User wants to automate data entry or sync into Airtable
- User wants to delete or patch records in bulk
Part 1 — Auth Setup
1. Get a Personal Access Token
- Go to https://airtable.com/create/tokens
- Click Create new token
- Name it, add scopes:
data.records:read,data.records:write,schema.bases:read - Add bases or grant access to all bases
- Copy the token (shown only once)
export AIRTABLE_TOKEN="patXXXXXXXXXXXXXX.XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
Or store in ~/.cowrangler/credentials.env:
AIRTABLE_TOKEN=patXXXXXXXXXXXXXX.XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
2. Find Your Base and Table IDs
Base ID is in the URL: https://airtable.com/appXXXXXXXXXXXXXX/... → appXXXXXXXXXXXXXX
Table ID or name — use the table name directly in the URL (URL-encoded) or get the ID from the metadata API:
AIRTABLE_TOKEN="${AIRTABLE_TOKEN:-$(grep '^AIRTABLE_TOKEN=' ~/.cowrangler/credentials.env 2>/dev/null | cut -d= -f2 | tr -d '\n\r')}"
BASE_ID="appXXXXXXXXXXXXXX"
# List all tables in a base
curl -s "https://api.airtable.com/v0/meta/bases/$BASE_ID/tables" \
-H "Authorization: Bearer $AIRTABLE_TOKEN" \
| python3 -c "
import sys, json
data = json.load(sys.stdin)
for t in data['tables']:
print(f\"{t['id']} {t['name']}\")
"
Shell Helper
airtable_get() {
# Usage: airtable_get "appXXX/TableName?filterByFormula=..."
curl -s "https://api.airtable.com/v0/$1" \
-H "Authorization: Bearer $AIRTABLE_TOKEN"
}
airtable_post() {
# Usage: airtable_post "appXXX/TableName" '{"records":[...]}'
curl -s -X POST "https://api.airtable.com/v0/$1" \
-H "Authorization: Bearer $AIRTABLE_TOKEN" \
-H "Content-Type: application/json" \
-d "$2"
}
airtable_patch() {
# Usage: airtable_patch "appXXX/TableName" '{"records":[...]}'
curl -s -X PATCH "https://api.airtable.com/v0/$1" \
-H "Authorization: Bearer $AIRTABLE_TOKEN" \
-H "Content-Type: application/json" \
-d "$2"
}
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.
- 8d ago First seen · 350 lines · 19 tokens per session scan A 7d8b170f3cb7
airtable is a skill published in the GitHub repository furkangonel/cowrangler (2 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 2,674 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 2026-08-31.
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