agentmods.dev

apple-reminders

apple-reminders is a skill for Claude Code, Codex from beita6969/ScienceClaw. It costs 34 tokens per session (822 once invoked), scanned A, a copy of apple-reminders, MIT.

A command-line tool for managing Apple Reminders on macOS. Apple Reminders is Apple's app for personal tasks and due dates, synced with devices such as an iPhone or iPad.

In plain words
What is it for?
Listing, adding, editing, completing, or deleting reminders, including tasks for today, tomorrow, this week, or overdue items. It requires the remindctl program and permission to access Reminders.
Why use it?
It lets an agent work with reminders from the terminal instead of requiring manual changes in the app. It can filter tasks by lists and dates and show them as plain text or JSON.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

not rated 898repo +6 3mo ago A scan 34 tokens copy · 89% MIT

Good fit Listing, adding, editing, completing, or deleting reminders, including tasks for today, tomorrow, this week, or overdue items. It requires the remindctl program and permission to access Reminders.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/beita6969/scienceclaw/apple-reminders
View source ↗ beita6969/ScienceClaw scienceclaw.science
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 beita6969/ScienceClaw --skill apple-reminders
Clone the repo
git clone --depth 1 https://github.com/beita6969/ScienceClaw

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 apple-reminders

README.md
[![agentmods](https://agentmods.dev/badge/skills/beita6969/scienceclaw/apple-reminders/github.svg)](https://agentmods.dev/skills/beita6969/scienceclaw/apple-reminders)
Your own site
<a href="https://agentmods.dev/skills/beita6969/scienceclaw/apple-reminders"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/apple-reminders/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 apple-reminders

Your own site · 80×15
<a href="https://agentmods.dev/skills/beita6969/scienceclaw/apple-reminders"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/apple-reminders.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 822 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 89% copy Near-identical to another mod 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 $0.00034 $0.00822
Opus 5 $0.00017 $0.00411
Sonnet 5 $0.00007 $0.00164
Haiku 4.5 $0.00003 $0.00082

Measured 10d ago against content hash 75f6b4bbe4eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

apple-reminders 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 10d ago.

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.

Origin

This is a copy

89% identical to apple-reminders — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/apple-reminders/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apple Reminders CLI (remindctl)

Use remindctl to manage Apple Reminders directly from the terminal.

When to Use

✅ USE this skill when:

  • User explicitly mentions "reminder" or "Reminders app"
  • Creating personal to-dos with due dates that sync to iOS
  • Managing Apple Reminders lists
  • User wants tasks to appear in their iPhone/iPad Reminders app

When NOT to Use

❌ DON'T use this skill when:

  • Scheduling Clawdbot tasks or alerts → use cron tool with systemEvent instead
  • Calendar events or appointments → use Apple Calendar
  • Project/work task management → use Notion, GitHub Issues, or task queue
  • One-time notifications → use cron tool for timed alerts
  • User says "remind me" but means a Clawdbot alert → clarify first

Setup

  • Install: brew install steipete/tap/remindctl
  • macOS-only; grant Reminders permission when prompted
  • Check status: remindctl status
  • Request access: remindctl authorize

Common Commands

View Reminders

remindctl                    # Today's reminders
remindctl today              # Today
remindctl tomorrow           # Tomorrow
remindctl week               # This week
remindctl overdue            # Past due
remindctl all                # Everything
remindctl 2026-01-04         # Specific date

Manage Lists

remindctl list               # List all lists
remindctl list Work          # Show specific list
remindctl list Projects --create    # Create list
remindctl list Work --delete        # Delete list

Create Reminders

remindctl add "Buy milk"
remindctl add --title "Call mom" --list Personal --due tomorrow
remindctl add --title "Meeting prep" --due "2026-02-15 09:00"

Complete/Delete

remindctl complete 1 2 3     # Complete by ID
remindctl delete 4A83 --force  # Delete by ID

Output Formats

remindctl today --json       # JSON for scripting
remindctl today --plain      # TSV format
remindctl today --quiet      # Counts only

Read the full file on GitHub · 119 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. 10d ago First seen · 119 lines · 34 tokens per session scan A 75f6b4bbe4eb

Subscribe to this mod's changes

apple-reminders is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 822 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to apple-reminders, differing in 8 lines, and is treated as a copy.

LLMProductivityaiai-agentbioinformaticsliterature-reviewmcp
Related

Other skills, from other repositories

apple-reminders

Apple Reminders via remindctl: add, list, complete.

NousResearch/hermes-agent · 17 tokens

box

Box manages cloud files, sharing, search, and metadata.

NousResearch/hermes-agent · 14 tokens

obsidian

Read, search, create, and edit notes in the Obsidian vault.

NousResearch/hermes-agent · 19 tokens

mantis-configure

Configures and validates Mantis pipeline environments, sandbox mechanisms, and AI models. Use to set up workflow.json, auto-detect host capabilities, switch between sandboxes (static-only, gvisor, microsandbox, gce), select AI models, and run fast 1-2s preflight tests. Don't use for scanning source code or running…

google/mantis · 77 tokens

tmux

Manage long-running shell sessions with tmux — start a detached session, run a long task, reattach later, capture output. Use when a task takes longer than a single tool call (build, test, log tail).

Team-Commonly/commonly · 48 tokens

routine-from-chat

Turn a plain-language "do this automatically" request into a routine — either event-triggered ("text me when I get an email from my landlord") or scheduled ("remind me every Friday at 9am"). For third-party events (Gmail, GitHub, Slack…) it confirms with the guardian and then subscribes to the connector trigger so the…

rome-os/rome · 124 tokens