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 commands/damusix/atomic-claude/remind-megit clone --depth 1 https://github.com/damusix/atomic-claudeWrote 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/commands/damusix/atomic-claude/remind-me)<a href="https://agentmods.dev/commands/damusix/atomic-claude/remind-me"><img src="https://agentmods.dev/badge/commands/damusix/atomic-claude/remind-me.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.02037 |
| Opus 5 | $0.00019 | $0.01019 |
| Sonnet 5 | $0.00008 | $0.00407 |
| Haiku 4.5 | $0.00004 | $0.00204 |
Grade A, and why
remind-me 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.
How it starts
The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Schedule a reminder that fires at a future time. The user speaks naturally; you infer when it should fire.
Spec: docs/spec/cron-workflow.md § /remind-me <prose>
Usage
/remind-me <anything the user wants to be reminded about>
$ARGUMENTS is free-form natural language. You are an LLM — infer timing from whatever the user wrote. All of these are valid:
Canonical storage units: <n>s, <n>m, <n>h, <n>d, <n>w, <n>months, or ISO date YYYY-MM-DD. Convert all natural-language time references to one of these silently. Today's date is always available in context for computing relative dates.
Steps
Step 1 — Parse arguments
Read $ARGUMENTS as natural-language prose. Infer two things:
<duration>— when the reminder should fire. May be explicit (3d,2h,2026-06-01) or implicit ("tuesday", "next week", "before the release", "end of sprint", "tomorrow morning"). You are an LLM — compute relative dates from today's date in context. Round fuzzy phrases to the nearest canonical unit silently.<body>— the user's intent, with any time-reference phrase removed. Strip glue prepositions (in,after,within,by,before, etc.) that only existed to connect the timing to the rest.
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.
- 5d ago First seen · 187 lines · 39 tokens per session scan A b374520aaaeb
remind-me is a command published in the GitHub repository damusix/atomic-claude (84 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 2,037 once invoked, about $0.0002 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.
Other commands, from other repositories
prune
Delete pending instincts older than 30 days that were never promoted.
nopua-en
Manually activate NoPUA clarity mode when stuck — identify the failure pattern and work through stop → observe → transform → act → transcend, driven by wisdom rather than fear.
context-stats
Display context window usage and token statistics.
run
Execute prompt(s) from ./prompts/ with automatic archiving - for structured prompt-based work.
help
Explain Ralph Wiggum technique and available commands.
cancel-ralph
Cancel active Ralph Wiggum loop.