google-calendar

google-calendar is a skill for Claude Code, Codex from vellum-ai/vellum-assistant. It costs 19 tokens per session (1,417 once invoked), scanned A, original, MIT.

A Google Calendar helper for viewing events, creating and managing them, checking free time, and responding to invitations. Google Calendar is Google’s online scheduling service.

In plain words
What is it for?
Use it to list or inspect events, create events with confirmation, check availability, and accept, decline, or tentatively respond to invitations.
Why use it?
It lets you inspect and update your schedule through one command interface. Availability checks help find open times across calendars before arranging a meeting.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to list or inspect events, create events with confirmation, check availability, and accept, decline, or tentatively respond to invitations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vellum-ai/vellum-assistant/google-calendar
About the project

Vellum Assistant is a personal AI assistant that remembers information about users, learns their preferences, and takes actions across connected apps. It is intended for people who want an assistant that can manage conversations, unfinished work, and proactive notifications over time. The catalogue skills, hooks, instruction, and setting configure or extend how the assistant works.

vellum-ai/vellum-assistant · 1,225 stars · on GitHub · vellum.ai

Install

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.

Any agent
npx skills add vellum-ai/vellum-assistant --skill google-calendar
Clone the repo
git clone --depth 1 https://github.com/vellum-ai/vellum-assistant

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for google-calendar

README.md
[![agentmods](https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/google-calendar/github.svg)](https://agentmods.dev/skills/vellum-ai/vellum-assistant/google-calendar)
Your own site
<a href="https://agentmods.dev/skills/vellum-ai/vellum-assistant/google-calendar"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/google-calendar/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.

agentmods 80×15 button for google-calendar

Your own site · 80×15
<a href="https://agentmods.dev/skills/vellum-ai/vellum-assistant/google-calendar"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/google-calendar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,417 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.01417
Opus 5 $0.00010 $0.00709
Sonnet 5 $0.00004 $0.00283
Haiku 4.5 $0.00002 $0.00142

Measured 7d ago against content hash fbfd3eac4931, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

google-calendar 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 7d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/gcal.ts, scripts/lib/common.test.ts, scripts/lib/common.ts, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

3. **Never try alternative approaches.** Don't use curl, browser automation, or any workaround. If the scripts can't do it, the reconnection flow is the answer.
skills/google-calendar/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Script Reference

All operations use a single CLI script that returns JSON:

  • Success: { "ok": true, "data": ... }
  • Failure: { "ok": false, "error": "..." }
Script Subcommand Description
scripts/gcal.ts list List events within a date range
scripts/gcal.ts get Get full details of a specific event
scripts/gcal.ts create Create a new event (requires user confirmation)
scripts/gcal.ts availability Check free/busy times across calendars
scripts/gcal.ts rsvp Respond to an event invitation (accepted, declined, tentative)

Usage Examples

# List events in a date range
bun scripts/gcal.ts list --time-min "2024-01-15T00:00:00Z" --time-max "2024-01-22T00:00:00Z"

# Get full details of a specific event
bun scripts/gcal.ts get --event-id "abc123"

# Create a new event (gates on assistant ui confirm)
bun scripts/gcal.ts create --summary "Team Meeting" --start "2024-01-15T09:00:00-05:00" --end "2024-01-15T10:00:00-05:00" --timezone "America/New_York"

# Check availability for a day
bun scripts/gcal.ts availability --time-min "2024-01-15T00:00:00Z" --time-max "2024-01-15T23:59:59Z"

# RSVP to an event invitation
bun scripts/gcal.ts rsvp --event-id "abc123" --response accepted

# Target a specific connected account (see "Multiple Accounts" below)
bun scripts/gcal.ts list --time-min "2024-01-15T00:00:00Z" --time-max "2024-01-22T00:00:00Z" --account "[email protected]"

Every subcommand accepts --account <email> to select which connected Google account the request runs against. When omitted, the request runs against a single account chosen automatically — safe only when exactly one Google account is connected. Each JSON envelope echoes the queried account in an account field when it is reported by the OAuth layer, so an empty result is self-describing (e.g. No events found in the specified time range for [email protected].).

Read the full file on GitHub · 94 lines

Files

What ships with it

5 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.

Changes

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.

  1. 7d ago Changed · -7 lines fbfd3eac4931
  2. 11d ago First seen · 101 lines · 19 tokens per session scan A 22b7784b67e5

Subscribe to this mod's changes

google-calendar is a skill published in the GitHub repository vellum-ai/vellum-assistant (1,225 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 1,417 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 2026-08-30.

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