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 skills add wende/macbeth --skill remindersgit clone --depth 1 https://github.com/wende/macbethWrote 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.
[](https://agentmods.dev/skills/wende/macbeth/reminders)<a href="https://agentmods.dev/skills/wende/macbeth/reminders"><img src="https://agentmods.dev/badge/skills/wende/macbeth/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.
<a href="https://agentmods.dev/skills/wende/macbeth/reminders"><img src="https://agentmods.dev/badge/skills/wende/macbeth/reminders.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00021 | $0.00200 |
| Opus 5.5 | $0.00008 | $0.00080 |
| Sonnet 5.5 | $0.00004 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
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 1mo 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.
What it actually says
Reminders Automation
Connect
connect_app({ name: "Reminders" })
Backends
- Primary: EventKit bridge (
client/native/apple_data.swift) - Fallback: AppleScript for simple app-level interactions
- Integration: Shortcuts for custom workflows
Runnable Scripts
list-reminders.mjs— list reminders (optional list filter)create-reminder.mjs— create a reminder with optional due datecomplete-reminder.mjs— mark reminder completed by id
Gotchas
- First run will prompt for Reminders permissions.
- Due dates should be ISO 8601 (for example
2026-03-26T17:00:00+01:00). - Completion is by reminder id; use
list-remindersfirst.
What ships with it
3 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.
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.
- 1mo ago First seen · 28 lines · 21 tokens per session scan A 9330d2a49710
reminders is a skill published in the GitHub repository wende/macbeth (4 stars, last pushed 27d ago), licensed MIT. It adds 21 tokens to every session and 200 once invoked, about $0.0001 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 2026-08-31.
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