reminders-review

reminders-review is a skill for Claude Code from philipyaz/cos. It costs 232 tokens per session (7,690 once invoked), scanned A, original, MIT.

A workflow that reviews all open reminders on a task board and decides which ones are finished or no longer relevant. It then closes those reminders so the list shows current tasks.

In plain words
What is it for?
Use it for periodic cleanup of reminders after events happen, deadlines pass, or tasks are abandoned.
Why use it?
It removes stale reminders that otherwise remain mixed with work that still needs attention.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it for periodic cleanup of reminders after events happen, deadlines pass, or tasks are abandoned.

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Install with agentmods
npx agentmods add skills/philipyaz/cos/reminders-review
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.

Any agent
npx skills add philipyaz/cos --skill reminders-review
Clone the repo
git clone --depth 1 https://github.com/philipyaz/cos

Made for: Claude Code.

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-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/philipyaz/cos/reminders-review/github.svg)](https://agentmods.dev/skills/philipyaz/cos/reminders-review)
Your own site
<a href="https://agentmods.dev/skills/philipyaz/cos/reminders-review"><img src="https://agentmods.dev/badge/skills/philipyaz/cos/reminders-review/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.

agentmods 80×15 button for reminders-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/philipyaz/cos/reminders-review"><img src="https://agentmods.dev/badge/skills/philipyaz/cos/reminders-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 232 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,690 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00232 $0.07690
Opus 5 $0.00116 $0.03845
Sonnet 5 $0.00046 $0.01538
Haiku 4.5 $0.00023 $0.00769

Measured 5d ago against content hash 4b1e31de3752, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

reminders-review scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

It writes to the board **only** through the **`board`** MCP — never `bash`/`curl`
board/.claude/skills/reminders-review/SKILL.md · 411 lines

How it starts

The opening of the file, as written. The whole thing — 411 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reminders → Review (the open-reminder sweep)

This skill keeps the board's reminders list honest. Reminders are lightweight nudges — CHECK this, DO that, be READY for the parcel — and unlike messages or cases they have no channel that clears them: nothing marks a reminder done just because the parcel arrived, the deadline passed, or you quietly decided not to apply. So they pile up. This sweep is the counter-force: it walks every open reminder, works out whether the nudge has served its purpose, and closes the ones that have — by completing (it got done / happened) or dismissing (it's no longer relevant) — so what's left is genuinely still-actionable.

It writes to the board only through the board MCP — never bash/curl (Cowork's sandbox blocks outbound HTTP; the tools exist for exactly this). The board is a state machine; YOU are the intelligence. The board just lists, reads, and flips the status of reminders deterministically — it has no notion of "this one is stale." Judging closeability is entirely your job here, from the context the reads give you. The only writes this skill makes are complete_reminder, update_reminder {status:"dismissed"}, and — for the filtered-mail digest (STEP 5) — resolve_triage_decision; it never creates, links, or deletes a reminder (that's the reconcilers' job, and hard-delete is nobody's job in this sweep).

Guardrail 1 — overdue is NOT the same as done. A passed due date, or a nudge that's sat for weeks, is a prompt to ASK, not a licence to close. "Submit the meter readings by Fri" going overdue might mean you did it — or that you still owe it and it's now urgent. Only auto-close when the completion is PROVEN by concrete state (a checklist fully checked, a linked case in a done/closed lane, a one-shot delivery/event whose date has clearly passed). When "done" is merely inferred from age, propose it or leave it as NEEDS-YOU — never silently flip it.

Guardrail 2 — the human's hand wins, and a reminder carries no author. Unlike a case, a reminder has no human/agent attribution and no manual-actions block, so you cannot tell whether the user is deliberately keeping one open. Treat that uncertainty conservatively: auto-close only the PROVEN-done set (Guardrail 1); route every inferred-stale close — age, a lapsed decision, a cold FYI — through approval so the user confirms. And never delete_reminder in this sweep: complete/dismiss is the reversible close (a done/dismissed reminder is restorable from Trash for ~30 days); a hard delete is not yours to make here.


Read the full file on GitHub · 411 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. 5d ago Changed · +16 lines 4b1e31de3752
  2. 10d ago First seen · 395 lines · 232 tokens per session scan A 9fe829a82892

Subscribe to this mod's changes

reminders-review is a skill published in the GitHub repository philipyaz/cos (4 stars, last pushed today), licensed MIT. It adds 232 tokens to every session and 7,690 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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