reminders

reminders is a skill for Claude Code, Codex from diillson/chatcli. It costs 70 tokens per session (920 once invoked), scanned A, original, Apache-2.0.

A reminder and to-do tool that can add items to a reminders app or send a scheduled message later. It supports native reminders on some operating systems and its own timed scheduler.

In plain words
What is it for?
Use it to create and list reminders, add to-dos, or schedule a future nudge through a connected chat service.
Why use it?
It helps you remember tasks and deadlines without keeping them in your head or setting them up manually.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/diillson/chatcli/reminders
Any agent
npx skills add diillson/chatcli --skill reminders
Clone the repo
git clone --depth 1 https://github.com/diillson/chatcli

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 reminders

README.md
[![agentmods](https://agentmods.dev/badge/skills/diillson/chatcli/reminders.svg)](https://agentmods.dev/skills/diillson/chatcli/reminders)
Your own site
<a href="https://agentmods.dev/skills/diillson/chatcli/reminders"><img src="https://agentmods.dev/badge/skills/diillson/chatcli/reminders.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 920 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00070 $0.00920
Opus 5 $0.00035 $0.00460
Sonnet 5 $0.00014 $0.00184
Haiku 4.5 $0.00007 $0.00092

Measured yesterday against content hash 8093c00fd46c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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.

pkg/persona/builtin/skills/reminders/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reminders

Two distinct things hide behind "remind me" — pick the right one:

  1. A reminder/to-do in the user's reminders app (persists in their ecosystem, syncs to phone). Use native tooling.
  2. A timed nudge from ChatCLI itself — "ping me in 2h", "message me tomorrow at 9 to do X". Use ChatCLI's built-in @scheduler (+ @send to deliver), no external app needed. This is the self-contained path and works on every OS.

If the user is talking to ChatCLI over a gateway (Telegram/WhatsApp) and wants to be messaged, prefer path 2. If they want it in Apple/Google Reminders, use path 1.

Path 1 — Native reminders app (OS-specific)

ChatCLI is multi-OS — pick by platform:

  • macOS → AppleScript Reminders.app (no install):
    osascript -e 'tell application "Reminders" to make new reminder with properties {name:"Call the dentist", due date:(date "2026-06-04 09:00")}'
    
    List open items:
    osascript -e 'tell application "Reminders" to get name of (reminders whose completed is false)'
    
  • Windows → a scheduled Toast reminder via PowerShell ScheduledTasks, or simply use Path 2 (the ChatCLI scheduler) which is cleaner and OS-agnostic. Detect with Get-Command remind -ErrorAction SilentlyContinue.
  • Linux with remind(1) installed (command -v remind) → append to ~/.reminders and query with remind ~/.reminders. If nothing suitable is installed, fall back to Path 2.

When unsure what's installed, prefer Path 2 — it needs no external app and works identically on Windows, macOS, and Linux.

Path 2 — ChatCLI scheduler (timed nudge, any OS)

Schedule a job that fires later and delivers a message. Resolve "now" first if the delay is relative — macOS / Linux: date '+%Y-%m-%d %H:%M %Z'; Windows: Get-Date -Format "yyyy-MM-dd HH:mm zzz". Then use @scheduler to register the job, pairing it with @send so the reminder reaches the user on their channel. Consult the @scheduler tool schema for the exact when/every/payload fields (one-shot vs recurring), and confirm the resolved absolute time back to the user.

Read the full file on GitHub · 71 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 · 71 lines · 70 tokens per session scan A 8093c00fd46c

Subscribe to this mod's changes

reminders is a skill published in the GitHub repository diillson/chatcli (89 stars, last pushed today), licensed Apache-2.0. It adds 70 tokens to every session and 920 once invoked, about $0.0003 per session on Opus 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 2026-09-03.

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