calendar_manager

calendar_manager is a skill for Claude Code, Codex from tubecreate/tubecli. It costs 19 tokens per session (651 once invoked), scanned A, original, MIT.

A Google Calendar connection for creating, viewing, changing, and deleting calendar events. Google Calendar is an online calendar service, and recurring events repeat on a schedule.

In plain words
What is it for?
Use it to list upcoming events, create meetings, add reminders and recurring schedules, make events from natural-language text, or delete events.
Why use it?
It removes the need to handle calendar API requests manually when an agent or chat workflow needs to manage events.

Skill for Claude CodeCodex

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

Good fit Use it to list upcoming events, create meetings, add reminders and recurring schedules, make events from natural-language text, or delete events.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tubecreate/tubecli/calendar_manager
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 tubecreate/tubecli --skill calendar_manager
Clone the repo
git clone --depth 1 https://github.com/tubecreate/tubecli

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 calendar_manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/tubecreate/tubecli/calendar_manager/github.svg)](https://agentmods.dev/skills/tubecreate/tubecli/calendar_manager)
Your own site
<a href="https://agentmods.dev/skills/tubecreate/tubecli/calendar_manager"><img src="https://agentmods.dev/badge/skills/tubecreate/tubecli/calendar_manager/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 calendar_manager

Your own site · 80×15
<a href="https://agentmods.dev/skills/tubecreate/tubecli/calendar_manager"><img src="https://agentmods.dev/badge/skills/tubecreate/tubecli/calendar_manager.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 651 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 51
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • medium Rogue Agent · line 10
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 $0.00651
Opus 5 $0.00010 $0.00326
Sonnet 5 $0.00004 $0.00130
Haiku 4.5 $0.00002 $0.00065

Measured 11d ago against content hash 9f428c719c21, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

calendar_manager 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 11d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (__init__.py, commands.py, extension.py, …), 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.

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.

tubecli/extensions/calendar_manager/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Calendar Manager Extension

This core extension manages Google Calendar events. It uses OAuth credentials from Auth Manager to interact with Google Calendar API. AI agents and Telegram chat can use it to schedule daily tasks, livestreams, meetings, etc.

Usage from Other Extensions

from tubecli.extensions.calendar_manager.extension import calendar_manager

# List upcoming events
events = calendar_manager.list_events(cred_id="cred_xxx", time_min="2026-04-01T00:00:00Z")

# Create a new event
result = calendar_manager.create_event(
    cred_id="cred_xxx",
    summary="Livestream Daily",
    start="2026-04-03T20:00:00+07:00",
    end="2026-04-03T22:00:00+07:00",
    description="Daily livestream session",
    recurrence=["RRULE:FREQ=DAILY;COUNT=30"],
)

# Quick add from natural language
result = calendar_manager.quick_add(cred_id="cred_xxx", text="Meeting tomorrow 10am-11am")

# Delete an event
calendar_manager.delete_event(cred_id="cred_xxx", event_id="abc123")

Recurring Events (RRULE)

Use Google Calendar RRULE format:

  • Daily: RRULE:FREQ=DAILY
  • Weekly: RRULE:FREQ=WEEKLY;BYDAY=MO,WE,FR
  • Monthly: RRULE:FREQ=MONTHLY;BYMONTHDAY=1
  • Daily for 30 days: RRULE:FREQ=DAILY;COUNT=30

API Endpoints

  • GET /api/v1/calendar/calendars — List calendars
  • GET /api/v1/calendar/events — List events (query: calendar_id, time_min, time_max, max_results)
  • POST /api/v1/calendar/events — Create event (supports recurrence)
  • PUT /api/v1/calendar/events/{event_id} — Update event
  • DELETE /api/v1/calendar/events/{event_id} — Delete event
  • POST /api/v1/calendar/quick-add — Quick add from text

Telegram Integration

When user chats in Telegram, AI can schedule events by outputting:

{"action": "schedule_event", "summary": "Livestream", "start": "2026-04-03T20:00:00+07:00", "end": "2026-04-03T22:00:00+07:00", "recurrence": "RRULE:FREQ=DAILY"}

The system will automatically use the default_calendar_email from global settings.

CLI Commands

Read the full file on GitHub · 69 lines

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. 11d ago First seen · 69 lines · 19 tokens per session scan A 9f428c719c21

Subscribe to this mod's changes

calendar_manager is a skill published in the GitHub repository tubecreate/tubecli (167 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 651 once invoked, about $0.0001 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 2026-08-30.