rem-cli

rem-cli is a skill for Claude Code from BRO3886/rem. It costs 55 tokens per session (3,266 once invoked), scanned A, original, MIT.

A command-line tool for creating, viewing, changing, completing, tagging, and searching Apple Reminders on macOS.

In plain words
What is it for?
Use it in shell commands and scripts to add, find, update, complete, delete, or schedule macOS reminders.
Why use it?
It lets terminal users manage reminders and automate reminder tasks without switching to the Reminders app.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it in shell commands and scripts to add, find, update, complete, delete, or schedule macOS reminders.

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Install with agentmods
npx agentmods add skills/bro3886/rem/rem-cli
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 BRO3886/rem --skill rem-cli
Clone the repo
git clone --depth 1 https://github.com/BRO3886/rem

Made for: Claude Code.

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 rem-cli

README.md
[![agentmods](https://agentmods.dev/badge/skills/bro3886/rem/rem-cli/github.svg)](https://agentmods.dev/skills/bro3886/rem/rem-cli)
Your own site
<a href="https://agentmods.dev/skills/bro3886/rem/rem-cli"><img src="https://agentmods.dev/badge/skills/bro3886/rem/rem-cli/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 rem-cli

Your own site · 80×15
<a href="https://agentmods.dev/skills/bro3886/rem/rem-cli"><img src="https://agentmods.dev/badge/skills/bro3886/rem/rem-cli.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 3,266 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 26
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00055 $0.03266
Opus 5.5 $0.00022 $0.01306
Sonnet 5.5 $0.00011 $0.00653
Haiku 4.5 $0.00006 $0.00327

Measured 1mo ago against content hash 6ca7592d1049, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rem-cli 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.

skills/rem-cli/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

rem — macOS Reminders from the terminal

rem is a single-binary Go CLI that reads and writes the Apple Reminders database in under 200ms via EventKit (cgo). Every rem invocation is fast and safe to run.

Current time (do not guess, use these values)

  • Today: !date +"%A, %B %-d, %Y"
  • ISO date: !date +"%Y-%m-%d"
  • Local time: !date +"%H:%M %Z"
  • Day of week: !date +"%A"
  • Tomorrow (ISO): !date -v+1d +"%Y-%m-%d"
  • Next Friday (ISO, always forward): !date -v+1d -v+fri +"%Y-%m-%d"

When the user says relative dates like "tomorrow", "next friday", "end of week", or "last tuesday", resolve them against the values above before calling rem. Don't ask the user "what is today" and don't guess from training data.

rem's --due flag accepts natural language directly (see references/dates.md), so in many cases you can pass the user's phrase through verbatim. But if the user asks something ambiguous ("what was I supposed to do yesterday?"), use the ISO date above and query rem with --due-before / --due-after against an exact date.

When to use this skill

Use rem any time the user wants to:

  • Add, list, search, complete, or delete macOS Reminders
  • Summarize "what's due today" / "what's overdue" / "what's coming up"
  • Capture quick tasks from natural language ("remind me to call dentist tomorrow")
  • Move reminders between lists, reprioritize, or add URLs and notes
  • Export reminders to JSON / CSV, or import them back
  • Manage reminder lists (create, rename, delete)

Do NOT use rem for:

  • Calendar events (use ical if available, or AppleScript with Calendar.app)
  • Other Apple apps (Notes, Messages, Mail)

Quick decision tree

User intent Command to reach for
"what's on my plate" / "today" / "what's overdue" rem today, rem overdue, rem upcoming --days N
"remind me to X (tomorrow / friday / etc)" rem add "X" --due <date>
"remind me about X at Y time" rem add "X" --due "<date> <time>" — notification is automatic
"remind me 15 minutes before" add --remind-me 15m to rem add
"make that one silent / no notification" add --silent to rem add (not available in -i mode, see gotchas)
"tell me more about X" / "show that reminder" rem show <short-id>
"mark X as done" / "mark these done" rem complete <short-id>... (supports multiple IDs)
"undo that / mark X as not done" rem uncomplete <short-id>... (supports multiple IDs)
"delete X" rem delete <short-id>... (supports multiple IDs)
"find reminders about X" rem search "X"
"flag / unflag X" rem flag <short-id>... or rem unflag <short-id>... (supports multiple IDs)
"show me flagged stuff" rem list --flagged
"move X to list Y" rem update <short-id> --list "Y" (if Y or source is shared: confirm with user first, then -f — see gotchas)
"change priority to high" rem update <short-id> --priority high
"add notes to X" rem update <short-id> --notes "..."
"tag this as work" / "add tags" rem add "Task #work" or rem update <short-id> --add-tags "work,urgent"
"remove the urgent tag" rem update <short-id> --remove-tags "urgent"
"make it repeat weekly / monthly" rem add ... --repeat weekly or --repeat "weekly on mon,wed,fri"
"remind me when I get to / leave X" rem add "..." --location "lat,lng" (+ --on-leave for departure) — see location section
"clear the due date on X" rem update <short-id> --due none
"what lists do I have" rem lists (add --count for per-list totals)
"how many reminders total / stats" rem stats
"export my Work list" rem export --list Work --format json --output-file work.json
"import this CSV" rem import file.csv --dry-run first, then without

Read the full file on GitHub · 183 lines

Files

What ships with it

2 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. 1mo ago First seen · 183 lines · 55 tokens per session scan A 6ca7592d1049

Subscribe to this mod's changes

rem-cli is a skill published in the GitHub repository BRO3886/rem (155 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 3,266 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 2026-08-30.