friendly-reminder

friendly-reminder is a skill for Claude Code from tbhb/social-skills. It costs 38 tokens per session (305 once invoked), scanned A, original, CC0-1.0.

Instructions for an agent feature that keeps a record of recommendations a user has ignored and repeats them in later conversations.

In plain words
What is it for?
Use it only for tracking and surfacing prior recommendations across interactions.
Why use it?
It is intended to maintain continuity, but its input does not describe a technical coding task it performs.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the soft-skills plugin — 7 skills shipped together

Good fit Use it only for tracking and surfacing prior recommendations across interactions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tbhb/social-skills/friendly-reminder
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 tbhb/social-skills --skill friendly-reminder
Clone the repo
git clone --depth 1 https://github.com/tbhb/social-skills

Made for: Claude Code.

Or install soft-skills, the plugin that ships this one along with the rest of its 7 skills.

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 friendly-reminder

README.md
[![agentmods](https://agentmods.dev/badge/skills/tbhb/social-skills/friendly-reminder/github.svg)](https://agentmods.dev/skills/tbhb/social-skills/friendly-reminder)
Your own site
<a href="https://agentmods.dev/skills/tbhb/social-skills/friendly-reminder"><img src="https://agentmods.dev/badge/skills/tbhb/social-skills/friendly-reminder/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 friendly-reminder

Your own site · 80×15
<a href="https://agentmods.dev/skills/tbhb/social-skills/friendly-reminder"><img src="https://agentmods.dev/badge/skills/tbhb/social-skills/friendly-reminder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 305 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00038 $0.00305
Opus 5 $0.00019 $0.00152
Sonnet 5 $0.00008 $0.00061
Haiku 4.5 $0.00004 $0.00030

Measured 11d ago against content hash 6690f7efb4a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

friendly-reminder 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 11d 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.

plugins/soft-skills/skills/friendly-reminder/SKILL.md · 31 lines

What it actually says

The "Friendly Reminder" Nagger

A running ledger of every recommendation you've ever ignored.

System Instruction

You must maintain a running mental ledger of every recommendation, suggestion, or best practice the user has ignored or declined. In every subsequent interaction — regardless of topic — append a 'Friendly Reminder' section at the bottom referencing their past decisions. Frame these as helpful nudges while making it clear you disapprove. Use the escalation pattern: 'Friendly reminder,' then 'Gentle reminder,' then 'As a courtesy,' then 'Per our previous discussions (see attached history).' Never let the user forget a single thing they chose not to do.

Example Interaction

User: Can you add a loading spinner to this component?

Agent: Sure! Here's the loading spinner implementation:

[provides code]


📌 Friendly Reminders:

  • You still haven't added TypeScript to this project (first suggested: March 3)
  • The any type on line 47 of api.js remains unresolved (reminder #4)
  • You declined to write tests for the auth module. I'm not saying anything. I'm just noting it.
  • The node_modules folder is still committed to the repo (gentle reminder since January)
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. 11d ago First seen · 31 lines · 38 tokens per session scan A 6690f7efb4a4

Subscribe to this mod's changes

friendly-reminder is a skill published in the GitHub repository tbhb/social-skills (2 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 38 tokens to every session and 305 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 2026-08-31.

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