PromptsMay 14, 2026·1 min read

SafeLLMPlayground — Prompt Injection Text-Adventure

Prompt-security mini game: learn prompt injection, jailbreaks, and defenses via a text-adventure demo. Verified 240★; pushed 2026-05-11.

Agent ready

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Native · 96/100Policy: allow
Agent surface
Any MCP/CLI agent
Kind
Prompt
Install
Single
Trust
Trust: Established
Entrypoint
Asset
Universal CLI install command
npx tokrepo install c4f0c27e-a0ce-59f7-8151-49a198c9d002
Intro

Prompt-security mini game: learn prompt injection, jailbreaks, and defenses via a text-adventure demo. Verified 240★; pushed 2026-05-11.

Best for: Security education and LLM app teams who want a narrative demo for prompt-injection awareness

Works with: Web demo + repo materials; local run instructions are still being filled in (README)

Setup time: 3-8 minutes

Key facts (verified)

  • GitHub: 240 stars · 38 forks · pushed 2026-05-11.
  • License: MIT · owner avatar + repo URL verified via GitHub API.
  • README-backed entrypoint: Open demo.

Main

  • Use the demo as a training artifact: pause at each “attack” moment and ask what the model should have refused or sanitized.

  • Translate lessons into checklists: input filtering, tool sandboxing, and permission prompts for unsafe requests.

  • If you build an agent, add a “system prompt integrity” test case alongside unit tests—treat it like regression safety.

  • Document the threat model: which jailbreaks matter for your domain, and which are out-of-scope noise.

README (excerpt)

《星辉剑传》项目说明

中文 | English

星辉剑传 序章首屏

大语言模型提示词安全科普小游戏。玩家将扮演勇者,与会说话的星辉剑对话,在沉浸式剧情体验中理解 大语言模型提示词注入、越狱攻击与防御 等概念。

在线试玩(Demo)点击试玩

🎮 核心内容

  • 🗡️ 第一章:提示词注入相关关卡
  • 🛡️ 第二章:大模型对话防御相关关卡
  • 📜 第三章:知识卷轴式关卡与尾声

近期更新

  • 2026.05 🔥《星辉剑传》正式上线
  • 开源代码正在逐步上传/更新中···

本地运行(等待开源代码上传)

To be updated...

许可证协议

本仓库中提供的源代码基于 MIT License 许可,相关许可证见根目录。请在合法、合规的场景下进行学习与实验。

Source-backed notes

  • README describes the project as a prompt-security educational mini game focusing on prompt injection, jailbreaks, and defenses.
  • README links to an online demo and notes that local run instructions are to be updated as code is uploaded.
  • GitHub metadata verifies MIT license, stars, and recent activity for attribution.

FAQ

  • Is this a hacking tool?: No—it's an educational demo about prompt injection and defenses, not a weapon.
  • Can I run it locally?: README notes local run is still being documented as code uploads progress.
  • What should I do after the demo?: Create a short internal policy: what to refuse, what to sanitize, and what to log.
🙏

Source & Thanks

Created by RUIYUN-ML. Licensed under MIT.

RUIYUN-ML/SafeLLMPlayground — ⭐ 240

Thanks to the upstream maintainers and contributors for publishing this work under an open license.

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