bdd-splitting

bdd-splitting is a cursor rule for Cursor from ArcadeAI/safeword. It costs 24 tokens per session (49 once invoked), scanned A, original, no licence file.

A rule for splitting behavior-driven development (BDD) work, where software behavior is described through user stories and examples. It applies when a plan has at least two stories, more than 15 scenarios, or more than 20 tasks.

In plain words
What is it for?
Breaking up BDD protocols and examples when the stated story, scenario, or task limits are exceeded.
Why use it?
It prevents a large BDD plan from becoming difficult to understand and manage by dividing it into smaller parts.

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/arcadeai/safeword/bdd-splitting
Clone the repo
git clone --depth 1 https://github.com/ArcadeAI/safeword

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 bdd-splitting

README.md
[![agentmods](https://agentmods.dev/badge/rules/arcadeai/safeword/bdd-splitting.svg)](https://agentmods.dev/rules/arcadeai/safeword/bdd-splitting)
Your own site
<a href="https://agentmods.dev/rules/arcadeai/safeword/bdd-splitting"><img src="https://agentmods.dev/badge/rules/arcadeai/safeword/bdd-splitting.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 49 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00024 $0.00049
Opus 5 $0.00012 $0.00024
Sonnet 5 $0.00005 $0.00010
Haiku 4.5 $0.00002 $0.00005

Measured 4d ago against content hash ec5f233ce2fd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

bdd-splitting 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.

.cursor/rules/bdd-splitting.mdc · 7 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 · 7 lines · 24 tokens per session scan A ec5f233ce2fd

Subscribe to this mod's changes

bdd-splitting is a cursor rule published in the GitHub repository ArcadeAI/safeword (8 stars, last pushed yesterday), with no licence file. It adds 24 tokens to every session and 49 once invoked, about $0.0001 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.