prompt01_change_category

prompt01_change_category is a cursor rule for Cursor from mercari/sample-bigquery-ai-coding. It costs 0 tokens per session (103 once invoked), scanned A, original, MIT.

A Cursor rule for changing a BigQuery query so it reports gross merchandise value (GMV), meaning the total value of items sold, by selected product categories and dates.

In plain words
What is it for?
Use it when adjusting the listed query to analyse categories such as outerwear, coats, suits, and sport coats during 2023.
Why use it?
It gives a fixed request format for specifying the query file, categories, and reporting period.

Cursor rule for Cursor

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/mercari/sample-bigquery-ai-coding/prompt01_change_category
Clone the repo
git clone --depth 1 https://github.com/mercari/sample-bigquery-ai-coding

Made for: Cursor.

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 prompt01_change_category

README.md
[![agentmods](https://agentmods.dev/badge/rules/mercari/sample-bigquery-ai-coding/prompt01_change_category.svg)](https://agentmods.dev/rules/mercari/sample-bigquery-ai-coding/prompt01_change_category)
Your own site
<a href="https://agentmods.dev/rules/mercari/sample-bigquery-ai-coding/prompt01_change_category"><img src="https://agentmods.dev/badge/rules/mercari/sample-bigquery-ai-coding/prompt01_change_category.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 103 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00103
Opus 5 $0.00000 $0.00051
Sonnet 5 $0.00000 $0.00021
Haiku 4.5 $0.00000 $0.00010

Measured 3d ago against content hash 60b3e9f82153, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prompt01_change_category 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 3d 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.

.cursor/rules/prompt01_change_category.mdc · 16 lines

What it actually says

カテゴリー別GMV

対象ファイル

このクエリ query を次のように調整してください:

対象カテゴリー

  • Outerwear & Coats
  • Suits & Sport Coats

期間

  • 開始日: 2023/1/1
  • 終了日: 2023/12/31
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. 3d ago First seen · 16 lines · 0 tokens per session scan A 60b3e9f82153

Subscribe to this mod's changes

prompt01_change_category is a cursor rule published in the GitHub repository mercari/sample-bigquery-ai-coding (5 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 103 tokens. 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.