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.
npx agentmods add skills/understudy-ai/understudy/apple-remindersnpx skills add understudy-ai/understudy --skill apple-remindersgit clone --depth 1 https://github.com/understudy-ai/understudyWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00034 | $0.00813 |
| Opus 5 | $0.00017 | $0.00407 |
| Sonnet 5 | $0.00007 | $0.00163 |
| Haiku 4.5 | $0.00003 | $0.00081 |
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 2d 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.
This is a copy
83% identical to apple-reminders — 12 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.
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 Understudy chat alerts or recurring automations → use the
scheduletool instead - Calendar events or appointments → use Apple Calendar
- Project/work task management → use Notion, GitHub Issues, or task queue
- One-time or recurring in-chat notifications → use the
scheduletool - User says "remind me" but means an Understudy alert in this chat → 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
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.
- 2d ago First seen · 119 lines · 34 tokens per session scan A 99e28333d2dd
apple-reminders is a skill published in the GitHub repository understudy-ai/understudy (456 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 813 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to apple-reminders, differing in 12 lines, and is treated as a copy.
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