Hermes Agent is an AI assistant that learns from its use by creating and improving skills, retaining knowledge, searching past conversations, and adapting to its users. It is for people who want to run an agent through a terminal or messaging platforms while connecting it to different AI models and scheduled tasks.
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 agentmods add skills/nousresearch/hermes-agent/airtablenpx skills add NousResearch/hermes-agent --skill airtablegit clone --depth 1 https://github.com/NousResearch/hermes-agentWrote 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/nousresearch/hermes-agent/airtable)<a href="https://agentmods.dev/skills/nousresearch/hermes-agent/airtable"><img src="https://agentmods.dev/badge/skills/nousresearch/hermes-agent/airtable.svg" alt="Measured on agentmods" 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 | $0.00019 | $0.03224 |
| Opus 5 | $0.00010 | $0.01612 |
| Sonnet 5 | $0.00004 | $0.00645 |
| Haiku 4.5 | $0.00002 | $0.00322 |
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 yesterday.
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. Copies of this mod
8 near-identical copies found in the catalogue:
- airtable — 100% identical, 45 lines differ
- airtable — 100% identical, 45 lines differ
- airtable — 100% identical, 0 lines differ
- airtable — 100% identical, 0 lines differ
- airtable — 98% identical, 47 lines differ
- airtable — 97% identical, 40 lines differ
- airtable — 97% identical, 40 lines differ
- airtable — 97% identical, 50 lines differ
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
- Create a Personal Access Token (PAT) at https://airtable.com/create/tokens (tokens start with
pat...). - Grant these scopes (minimum):
data.records:read— read rowsdata.records:write— create / update / delete rowsschema.bases:read— list bases and tables
- 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. - Store the token in
${HERMES_HOME:-~/.hermes}/.env(or viahermes 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 $AIRTABLE_API_KEY - All requests use JSON (
Content-Type: application/jsonfor any POST/PATCH/PUT body). - Object IDs: bases
app..., tablestbl..., recordsrec..., fieldsfld.... IDs never change; names can. Prefer IDs in automations. - Rate limit: 5 requests/sec/base.
429→ back off. Burst on a single base will be throttled.
Base curl pattern:
curl -s "https://api.airtable.com/v0/$BASE_ID/$TABLE?maxRecords=5" \
-H "Authorization: Bearer $AIRTABLE_API_KEY" | python -m json.tool
-s suppresses curl's progress bar — keep it set for every call so the tool output stays clean for Hermes. Pipe through python -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"} |
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.
- yesterday First seen · 230 lines · 19 tokens per session scan A 28253f1e20c4
airtable is a skill published in the GitHub repository NousResearch/hermes-agent (241,505 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 3,224 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 2026-09-03.
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list-projects
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