schedule

schedule is a skill for Claude Code, Codex from vellum-ai/vellum-assistant. It costs 27 tokens per session (4,905 once invoked), scanned A, original, MIT.

A scheduling tool for running messages, notifications, shell commands, or saved workflows once or on a repeating timetable.

In plain words
What is it for?
Setting cron or calendar-style recurring schedules, one-time alerts, automated commands, assistant tasks, and workflows.
Why use it?
It removes the need to remember recurring tasks or start them manually at a particular time.

Skill for Claude CodeCodex

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

Good fit Setting cron or calendar-style recurring schedules, one-time alerts, automated commands, assistant tasks, and workflows.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vellum-ai/vellum-assistant/schedule
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 · 1,214 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 schedule
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 schedule

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/vellum-ai/vellum-assistant/schedule"><img src="https://agentmods.dev/badge/skills/vellum-ai/vellum-assistant/schedule.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,905 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 $0.00027 $0.04905
Opus 5 $0.00014 $0.02452
Sonnet 5 $0.00005 $0.00981
Haiku 4.5 $0.00003 $0.00490

Measured today against content hash 9d59c0bc5a03, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

schedule 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 today.

The scan reads SKILL.md. This mod also ships 4 executable files (tools/schedule-create.ts, tools/schedule-delete.ts, tools/schedule-list.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.

- Prefer **execute** mode: the scheduled message browses or fetches the source, applies the user's rules, and notifies on exceptions. Use **script** mode only for a cheap deterministic check against a live source the ass
assistant/src/config/bundled-skills/schedule/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Manage scheduled automations. Schedules can be recurring (cron or RRULE expression) or one-shot (a single fire_at timestamp). Schedules support four modes: execute (run a message through the assistant), notify (send a notification to the user), script (run a shell command directly without LLM involvement), and workflow (run a saved multi-agent workflow by name).

Recurring Monitoring

When the user wants something checked on a cadence (a status page, dashboard, site, or similar) and to be told if it is wrong, late, or missing: create a schedule. Do not author a standalone script they have to download, run, or maintain.

  • Recurrence, cutoff times, escalation, and notifications are schedule and notification primitives. Do not reimplement them in a workspace file the user has to run.
  • Prefer execute mode: the scheduled message browses or fetches the source, applies the user's rules, and notifies on exceptions. Use script mode only for a cheap deterministic check against a live source the assistant can already reach (curl an API, read a file in the workspace). A script-mode job is still a schedule, not a file you hand the user.
  • Looking at a page, pasting HTML, or gathering a roster is setup for the schedule, not a reason to skip creating one.
  • If browsing cannot reach the page, still create the schedule. Offer the desktop app (https://www.vellum.ai/download) or the Chrome extension (https://chromewebstore.google.com/detail/vellum-assistant-browser/hphbdmpffeigpcdjkckleobjmhhokpne) so a logged-in browser session can run it. Do not replace the schedule with a parser against a pasted export, and do not assign comparison-run homework before anything is scheduled.
  • Watchers cover Gmail, Google Calendar, GitHub, Linear, and Outlook event polling. An arbitrary web page or status dashboard is this skill, not the watcher skill.

Schedule Syntax

Cron

Standard 5-field cron syntax: minute hour day-of-month month day-of-week

Field Values Special characters
Minute 0-59 , - * /
Hour 0-23 , - * /
Day of month 1-31 , - * /
Month 1-12 , - * /
Day of week 0-7 (0,7=Sun) , - * /

Read the full file on GitHub · 259 lines

Files

What ships with it

6 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. today Changed · +8 lines 9d59c0bc5a03
  2. 6d ago Changed 8a762849311b
  3. 6d ago Changed · +2 lines ffffe1cead80
  4. 7d ago Changed · +12 lines · +9 tokens per session 755d68e2b3fd
  5. 10d ago First seen · 237 lines · 18 tokens per session scan A 536613209f59

Subscribe to this mod's changes

schedule is a skill published in the GitHub repository vellum-ai/vellum-assistant (1,214 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 4,905 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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