rule-calling-help

rule-calling-help is a cursor rule for Cursor from bia-technologies/yaxunit. It costs 0 tokens per session (133 once invoked), scanned A, original, Apache-2.0.

Utility for remembering how to call VAN QA rules.

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/bia-technologies/yaxunit/rule-calling-help
Clone the repo
git clone --depth 1 https://github.com/bia-technologies/yaxunit

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 rule-calling-help

README.md
[![agentmods](https://agentmods.dev/badge/rules/bia-technologies/yaxunit/rule-calling-help.svg)](https://agentmods.dev/rules/bia-technologies/yaxunit/rule-calling-help)
Your own site
<a href="https://agentmods.dev/rules/bia-technologies/yaxunit/rule-calling-help"><img src="https://agentmods.dev/badge/rules/bia-technologies/yaxunit/rule-calling-help.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 133 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 $0.00133
Opus 5 $0.00000 $0.00067
Sonnet 5 $0.00000 $0.00027
Haiku 4.5 $0.00000 $0.00013

Measured 2d ago against content hash a553fd04fac6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rule-calling-help 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 2d 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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

.cursor/rules/isolation_rules/visual-maps/van_mode_split/van-qa-utils/rule-calling-help.mdc · 19 lines

What it actually says

VAN QA: HOW TO CALL RULES

TL;DR: This file provides examples and reminders on how to properly call VAN QA rules using the fetch_rules tool.

🚨 RULE CALLING SYNTAX

Always use the fetch_rules tool with the correct syntax:

<function_calls>
<invoke name="fetch_rules">
<parameter name="rule_names">["isolation_rules/visual-maps/rule-name"]
</invoke>
</function_calls> 
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. 2d ago First seen · 19 lines · 0 tokens per session scan A a553fd04fac6

Subscribe to this mod's changes

rule-calling-help is a cursor rule published in the GitHub repository bia-technologies/yaxunit (322 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 133 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 2026-09-01.