Borrowing it
Nothing to install: this file belongs to wintersleepAI/swnr. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/wintersleepAI/swnr/main/.cursorrulesgit clone --depth 1 https://github.com/wintersleepAI/swnrWrote 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.
[](https://agentmods.dev/rules/wintersleepai/swnr/cursorrules)<a href="https://agentmods.dev/rules/wintersleepai/swnr/cursorrules"><img src="https://agentmods.dev/badge/rules/wintersleepai/swnr/cursorrules.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00950 | $0.00950 |
| Opus 5 | $0.00475 | $0.00475 |
| Sonnet 5 | $0.00190 | $0.00190 |
| Haiku 4.5 | $0.00095 | $0.00095 |
Grade A, and why
cursorrules 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 2d ago First seen · 93 lines · 950 tokens per session scan A f999234f46b0
cursorrules is a cursor rule published in the GitHub repository wintersleepAI/swnr (12 stars, last pushed 2d ago), with no licence file. It adds 950 tokens to every session, about $0.0047 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 2026-09-04.
Other cursor rules, from other repositories
08-client-server
Rules for separating client-side and server-side code in Fabric 1.14.4 Minecraft mods. Fabric is a Minecraft modding framework, and client code runs in the player’s game while server code runs the game world.
07-datagen
A project rule for Minecraft Fabric 1.14.4 resources, such as item models, block models, recipes, and language files. It requires these files to be written as JSON in the source resources folders because that version does not include the newer data-generation system.
meta-quest-agentic-tools
Use Meta Quest Agentic Tools for Meta Quest and Horizon OS samples.
narrative-writing
A set of rules for writing and editing video-game narratives, connected to a narrative project. It requires the agent to load the project's writing context and story canon, which is the established set of story facts, before making changes.
meta-quest-agentic-tools
Use Meta Quest Agentic Tools for Meta Quest and Horizon OS samples.
visual-and-observational-rules
Defines the visual aspects of the game and how the player observes the world. This includes map color-coding, screen effects, and the overall simulation style.