remind

remind is a skill for Claude Code, Codex from elroy-bot/elroy. It costs 9 tokens per session (122 once invoked), scanned A, original, Apache-2.0.

A command for creating reminders in Elroy, a service that stores time-based or context-based prompts.

In plain words
What is it for?
Use it to create reminders about deadlines, reviews, follow-ups, or topics to revisit during a later discussion.
Why use it?
It records a future follow-up so the task does not depend on remembering it 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/elroy-bot/elroy/remind
Any agent
npx skills add elroy-bot/elroy --skill remind
Clone the repo
git clone --depth 1 https://github.com/elroy-bot/elroy

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 remind

README.md
[![agentmods](https://agentmods.dev/badge/skills/elroy-bot/elroy/remind.svg)](https://agentmods.dev/skills/elroy-bot/elroy/remind)
Your own site
<a href="https://agentmods.dev/skills/elroy-bot/elroy/remind"><img src="https://agentmods.dev/badge/skills/elroy-bot/elroy/remind.svg" alt="Measured on agentmods" height="20"></a>
Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 122 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 $0.00009 $0.00122
Opus 5 $0.00005 $0.00061
Sonnet 5 $0.00002 $0.00024
Haiku 4.5 $0.00001 $0.00012

Measured 5d ago against content hash 4a106b928de0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

remind 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 5d 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.

claude-skills/remind/SKILL.md · 20 lines

What it actually says

Create a time-based or context-based reminder in Elroy.

When the user invokes this skill with /remind [TEXT], create a reminder by running:

elroy message "/create_reminder $ARGUMENTS"

If no arguments are provided, prompt the user for what they want to be reminded about.

Examples:

  • /remind "Review the new feature branch tomorrow at 2pm"
  • /remind "Ask about test coverage when discussing testing strategy"
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. 5d ago First seen · 20 lines · 9 tokens per session scan A 4a106b928de0

Subscribe to this mod's changes

remind is a skill published in the GitHub repository elroy-bot/elroy (59 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 9 tokens to every session and 122 once invoked, about $0.0000 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 2026-08-30.

Related

Other skills, from other repositories

langchain

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG…

davila7/claude-code-templates · 79 tokens

browserwing-executor

Control browser automation through HTTP API. Supports page navigation, element interaction (click, type, select), data extraction, accessibility snapshot analysis, screenshot, JavaScript execution, and batch operations.

MemTensor/MemOS · 42 tokens

dev-browser

Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website"…

MemTensor/MemOS · 84 tokens

ask-user-question

Ask users questions via the UI. Use when you need clarification, user preferences, or confirmation before proceeding. The user CANNOT see CLI output - this tool is the ONLY way to communicate with them.

MemTensor/MemOS · 44 tokens

memos-memory-guide

Use the MemOS Local memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query…

MemTensor/MemOS · 131 tokens

memmachine-memory

Use when an agent or model needs durable project, user, or session context from MemMachine, needs to save information to MemMachine memory, has requests involving mem-cli, memmachine, or memmachineclient, has insufficient conversation context, or is tempted to search local files for prior context that should come from…

MemMachine/MemMachine · 96 tokens