schedules

schedules is a skill for Claude Code, Codex from Cloudgeni-ai/opengeni. It costs 55 tokens per session (1,233 once invoked), scanned A, original, Apache-2.0.

A scheduling tool for turning requests into one-time or repeating tasks, reminders, and monitoring jobs. It uses the requested timing and time zone and can run work in a chat or a separate agent session.

In plain words
What is it for?
Use it to schedule reminders, recurring checks, delayed messages, or monitoring tasks. It can also set up separate-agent work to run on a schedule.
Why use it?
It removes the need to remember recurring work or manually start the same task later. It also helps avoid mistakes about when and where the task should run.

Skill for Claude CodeCodex

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

Good fit Use it to schedule reminders, recurring checks, delayed messages, or monitoring tasks. It can also set up separate-agent work to run on a schedule.

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Install with agentmods
npx agentmods add skills/cloudgeni-ai/opengeni/schedules
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 Cloudgeni-ai/opengeni --skill schedules
Clone the repo
git clone --depth 1 https://github.com/Cloudgeni-ai/opengeni

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 schedules

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/cloudgeni-ai/opengeni/schedules"><img src="https://agentmods.dev/badge/skills/cloudgeni-ai/opengeni/schedules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,233 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.
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 $0.00055 $0.01233
Opus 5.5 $0.00022 $0.00493
Sonnet 5.5 $0.00011 $0.00247
Haiku 4.5 $0.00006 $0.00123

Measured yesterday against content hash cd7929fdb263, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

schedules 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 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.

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.

packages/runtime/src/bundled_schedule_skills/schedules/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create a schedule

Turn the user's description into scheduled work in the current workspace. Research what is available before asking questions. Ask only for essential details you cannot discover or reasonably decide from the request.

Choose the destination

By default, schedule a message in this conversation. “Remind me”, “check later”, “keep watching” and “schedule yourself” mean continue this chat. Supply name, schedule and prompt; the tool resolves the current chat from its signed context. Choose another existing chat with targetSessionId only when requested. Its model, tools, machine and attachments apply at run time, so do not copy those settings into the schedule.

Use reusable_session or new_session_per_run with agentConfig only when the user requests separate-agent work. Sessionless calls require an explicit destination or a separate-agent mode.

For separate-agent work, use agentConfig.executionTarget: "workspace_default" unless the user chose a specific machine or backend. Each new run chat resolves the current workspace default; a reusable chat keeps its first machine. Explicit machineTarget or sandboxBackend pins placement and cannot be combined with executionTarget. An unavailable machine is a blocker, never permission to switch computers.

Discover what the task needs

  • Use scheduled_tasks_list to avoid duplicating an existing schedule. Follow pagination when needed and use scheduled_tasks_get for a relevant task's details. A list summary is not its complete configuration.
  • If the work needs a repository, use github_repositories_list to find the authorized repository and select the required resources.
  • If the scheduled agent needs credentials, use secret_search to find the saved item and write its reference (for example {{secret:GitHub/token}}) in the prompt. Save it to the workspace with secret_save or secret_move when the schedule runs without you; never copy secret values into prompts.
  • If it needs an integration such as Slack or Sentry, use capability_catalog_search and the available tool discovery to find the capability and exact operations. Follow returned connection/setup and approval requirements. Do not claim that discovery means the integration is ready.
  • For posting as the workspace Slack bot, verify the available bot and channel through its tools. Record the exact Slack workspace and channel in the task instructions; use an explicit connection ID when multiple bots are available. Scheduled and interactive work use the same bot capability. No separate schedule-specific posting setting is required. Never substitute a personal account when the user requested the bot.

Read the full file on GitHub · 107 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. yesterday First seen · 107 lines · 55 tokens per session scan A cd7929fdb263

Subscribe to this mod's changes

schedules is a skill published in the GitHub repository Cloudgeni-ai/opengeni (205 stars, last pushed today), licensed Apache-2.0. It adds 55 tokens to every session and 1,233 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-21.

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