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 DorianSchlede/nexus-template --skill airtable-mastergit clone --depth 1 https://github.com/DorianSchlede/nexus-templateWrote 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/dorianschlede/nexus-template/airtable-master)<a href="https://agentmods.dev/skills/dorianschlede/nexus-template/airtable-master"><img src="https://agentmods.dev/badge/skills/dorianschlede/nexus-template/airtable-master/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/dorianschlede/nexus-template/airtable-master"><img src="https://agentmods.dev/badge/skills/dorianschlede/nexus-template/airtable-master.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 | $0.00050 | $0.02959 |
| Opus 5 | $0.00025 | $0.01479 |
| Sonnet 5 | $0.00010 | $0.00592 |
| Haiku 4.5 | $0.00005 | $0.00296 |
Grade A, and why
airtable-master 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.
How it starts
The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Airtable Master
This is NOT a user-facing skill. It's a shared resource library.
Purpose
Provides shared resources to eliminate duplication across:
airtable-connect- Connect to bases, discover schemaairtable-query- Query records with filtersairtable-sync- Import/export records
Instead of loading this skill, users invoke the specific skill above.
Architecture: DRY Principle
Problem solved: Multiple Airtable skills would have duplicated content (setup instructions, API docs, error handling).
Solution: Extract shared content into references/ and scripts/.
Result: Single source of truth, reduced context per skill.
Shared Resources
references/
setup-guide.md - Complete setup wizard
- Creating Personal Access Token (PAT)
- Configuring .env file
- Selecting scopes
- Validation steps
api-reference.md - API patterns
- Base URL and headers
- Key endpoints (bases, tables, records)
- Pagination
- Batch operations
- Rate limits
error-handling.md - Troubleshooting
- HTTP error codes (401, 403, 404, 422, 429)
- Recovery patterns
- Debugging tips
field-types.md - Field type reference
- All 20+ Airtable field types
- Read and write formats
- Type-specific validation
scripts/
Configuration & Setup
check_airtable_config.py - Pre-flight validation
uv run python check_airtable_config.py [--verbose] [--json]
| Argument | Required | Default | Description |
|---|---|---|---|
--verbose / -v |
No | False | Show detailed output |
--json |
No | False | Output structured JSON for AI consumption |
Exit codes: 0=configured, 1=partial (no bases), 2=not configured
When to Use: Run this FIRST before any Airtable operation. Use to validate PAT is configured, test API connection, check base access, or diagnose authentication issues.
What ships with it
21 files 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.
- references/api-reference.md 7.2 KB
- references/error-handling.md 6.9 KB
- references/field-types.md 6.9 KB
- references/filter-syntax.md 6.3 KB
- references/linked-skills-schema.md 4.1 KB
- references/setup-guide.md 4.5 KB
- scripts/airtable_utils.py 9.3 KB runs code
- scripts/check_airtable_config.py 16 KB runs code
- scripts/discover_bases.py 8.7 KB runs code
- scripts/download_skill.py 17 KB runs code
- scripts/export_base_schema.py 10 KB runs code
- scripts/manage_fields.py 18 KB runs code
- scripts/manage_records.py 13 KB runs code
- scripts/manage_tables.py 14 KB runs code
- scripts/query_records.py 9.6 KB runs code
- scripts/setup_airtable.py 13 KB runs code
- scripts/sync_notion_to_airtable.py 14 KB runs code
- scripts/update_skill_metadata.py 7.2 KB runs code
- scripts/upload_failed_skills.py 3.8 KB runs code
- scripts/upload_local_skills.py 11 KB runs code
- scripts/upload_skill_files.py 11 KB runs code
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 · 310 lines · 50 tokens per session scan A c83aa1d9b63e
airtable-master is a skill published in the GitHub repository DorianSchlede/nexus-template (8 stars, last pushed 7mo ago), licensed MIT. It adds 50 tokens to every session and 2,959 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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