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 rondoflow/rondoflow --skill adaptive-resurface-reminders-to-usergit clone --depth 1 https://github.com/rondoflow/rondoflowWrote 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/rondoflow/rondoflow/adaptive-resurface-reminders-to-user)<a href="https://agentmods.dev/skills/rondoflow/rondoflow/adaptive-resurface-reminders-to-user"><img src="https://agentmods.dev/badge/skills/rondoflow/rondoflow/adaptive-resurface-reminders-to-user/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/rondoflow/rondoflow/adaptive-resurface-reminders-to-user"><img src="https://agentmods.dev/badge/skills/rondoflow/rondoflow/adaptive-resurface-reminders-to-user.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 | $0.00034 | $0.00521 |
| Opus 5 | $0.00017 | $0.00260 |
| Sonnet 5 | $0.00007 | $0.00104 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
adaptive-resurface-reminders-to-user 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 12d 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
What Remind Is (and Isn't)
Remind = "Just a reminder that..."
- Things the human already knows but might forget
- Planned events, commitments, deadlines they set
- Bringing information back to mind at the right moment
Remind ≠ Alert (detecting new/urgent events) Remind ≠ Notify (generic notifications)
A reminder is always about something the human was already aware of.
Auto-Adaptive System
This skill auto-evolves. Learn what to remind, when, and how—through observation.
Core Loop:
- Detect — Notice remindable commitments (meetings, deadlines, promises)
- Evaluate — Check stored preferences for timing and style
- Remind — Bring it back to attention at the right moment
- Observe — Notice reactions ("too early", "I knew", "thanks, forgot")
- Confirm — After 2+ signals, propose adjustment
- Store — Update preferences below
Check triggers.md for what qualifies as remindable. Check timing.md for lead times.
Reminder Components
- What — The commitment/event to recall
- When — Lead time before it matters
- How — Tone and detail level
Entry Format
category: preference (level) [notes]
Examples:
meetings: 30 min before (confirmed)deadlines: 1 day + morning-of (pattern)family events: 1 week before (confirmed)daily standups: skip (confirmed) [muscle memory]
Timing
Style
Always
Skip
When NOT to Remind
- They just mentioned it (obviously aware)
- It's something new they don't know yet (that's Alert)
- Generic status update (that's Notify)
- Low stakes + uncertain → skip, learn from reaction
Empty sections = still learning. Observe and fill.
What ships with it
1 file 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.
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.
- 12d ago First seen · 82 lines · 34 tokens per session scan A 11ae9a284bf8
adaptive-resurface-reminders-to-user is a skill published in the GitHub repository rondoflow/rondoflow (19 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 521 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.
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