ai-customer-facing

ai-customer-facing is a cursor rule for coding agents from achaykovsky/Cursor-Usage-Templates. It costs 199 tokens per session, scanned A, original, no licence file.

Rules for writing messages from bots that customers can see, including tone, disclaimers, privacy, and when to involve a person.

In plain words
What is it for?
Use them when building customer support or other public-facing bots that need clear boundaries and escalation guidance.
Why use it?
They help prevent a bot from exposing internal information or responding in an unsuitable way.

Cursor rule

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.

agentmods
npx agentmods add rules/achaykovsky/cursor-usage-templates/ai-customer-facing
Clone the repo
git clone --depth 1 https://github.com/achaykovsky/Cursor-Usage-Templates

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 ai-customer-facing

README.md
[![agentmods](https://agentmods.dev/badge/rules/achaykovsky/cursor-usage-templates/ai-customer-facing.svg)](https://agentmods.dev/rules/achaykovsky/cursor-usage-templates/ai-customer-facing)
Your own site
<a href="https://agentmods.dev/rules/achaykovsky/cursor-usage-templates/ai-customer-facing"><img src="https://agentmods.dev/badge/rules/achaykovsky/cursor-usage-templates/ai-customer-facing.svg" alt="Measured on agentmods" height="20"></a>
Per session 199 This file is loaded in full into every session.
When invoked 199 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00199 $0.00199
Opus 5 $0.00100 $0.00100
Sonnet 5 $0.00040 $0.00040
Haiku 4.5 $0.00020 $0.00020

Measured 4d ago against content hash fa6737c019bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-customer-facing 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 4d 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.

templates/rules/ai-customer-facing.mdc · 18 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 18 lines · 199 tokens per session scan A fa6737c019bd

Subscribe to this mod's changes

ai-customer-facing is a cursor rule published in the GitHub repository achaykovsky/Cursor-Usage-Templates (5 stars, last pushed 1mo ago), with no licence file. It adds 199 tokens to every session, about $0.0010 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.