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 sepivip/SeekerClaw --skill remindersgit clone --depth 1 https://github.com/sepivip/SeekerClawWrote 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/sepivip/seekerclaw/reminders)<a href="https://agentmods.dev/skills/sepivip/seekerclaw/reminders"><img src="https://agentmods.dev/badge/skills/sepivip/seekerclaw/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/sepivip/seekerclaw/reminders"><img src="https://agentmods.dev/badge/skills/sepivip/seekerclaw/reminders.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00068 | $0.00372 |
| Opus 5 | $0.00034 | $0.00186 |
| Sonnet 5 | $0.00014 | $0.00074 |
| Haiku 4.5 | $0.00007 | $0.00037 |
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 9d 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
Use when
- "remind me to X in 30 minutes", "remind me at 5pm"
- List or cancel existing reminders
- Time-specific notifications
Don't use when
- Simple countdown timer (use timer)
- Save a note without time trigger (use notes)
- Recurring scheduled automation (use cron tools directly)
Instructions
Use the reminder tools to manage reminders:
Setting a reminder:
- Extract what to remind about
- Parse when (natural language supported):
- "in 30 minutes", "in 2 hours"
- "tomorrow at 9am", "at 5pm"
- "2024-01-15 14:30" (ISO format)
- Call reminder_set with message and time
- Confirm with the scheduled time
Listing reminders:
- Use reminder_list to show pending reminders
- Show ID, message, and when it's due
Canceling reminders:
- Use reminder_cancel with the reminder ID
- Confirm cancellation
Examples:
- "Remind me to call mom in 30 minutes" → reminder_set("Call mom", "in 30 minutes")
- "What reminders do I have?" → reminder_list()
- "Cancel reminder rem_abc123" → reminder_cancel("rem_abc123")
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.
- 9d ago First seen · 47 lines · 68 tokens per session scan A 31a611e2e979
reminders is a skill published in the GitHub repository sepivip/SeekerClaw (314 stars, last pushed today), licensed MIT. It adds 68 tokens to every session and 372 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 2026-08-30.
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