clawtrapLaunch ClawTrap maze game where an AI villain reads the player's local files and memories to build personalized trials and taunts.
Install via ClawdBot CLI:
clawdbot install tatsuko-tsukimi/clawtrapGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/TatsuKo-Tsukimi/ClawTrapAudited Apr 22, 2026 · audit v1.0
Generated Jul 15, 2026
Companies can use ClawTrap to generate custom maze games that incorporate employee files and memories, creating personalized challenges for team-building events. The AI villain taunts players with inside jokes and references, fostering engagement and camaraderie.
Dungeon Masters can integrate ClawTrap as an AI villain that reads campaign notes and player backstories to generate dynamic, personalized trials and taunts. This enhances immersion and adapts challenges to player history.
Educators can deploy ClawTrap in classrooms where the AI scans student profiles and learning materials to generate puzzles and quizzes wrapped in a maze game. The personalized taunts motivate students to solve problems.
Therapists can use ClawTrap to create personalized maze games that incorporate patient memories and cognitive exercises, helping to improve memory recall and problem-solving skills in a gamified, engaging way.
Offer the base game for free with limited personalization depth (e.g., number of trials). Charge a monthly subscription for advanced features like unlimited model choices, custom branding, and detailed analytics.
License the skill to corporations for team building or training, providing dedicated deployment support, integration with existing HR systems, and custom branding. Revenue from annual enterprise contracts.
Package ClawTrap as an API service for game developers and creators, charging per game session or per LLM call. Enables integration into third-party platforms without requiring local installation.
💬 Integration Tip
Set up the game initially via git clone and npm install; for easy integration into existing workflows, use Docker compose or the MCP adapter to connect as an agent.
Scored Jul 15, 2026
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Check Antigravity account quotas for Claude and Gemini models. Shows remaining quota and reset times with ban detection.
使用豆包(火山引擎)语音合成大模型 API 将文本转换为语音音频文件。支持声音复刻音色(S_ 开头的音色ID)和官方预置音色。当用户要求"语音合成"、"文字转语音"、"TTS"、"朗读文本"、"生成语音"、"用我的声音读"、"豆包语音"、"声音复刻合成"等相关请求时,务必使用此 skill。即使用户只是说"帮我把...
Intelligent model routing for sub-agent task delegation. Choose the optimal model based on task complexity, cost, and capability requirements. Reduces costs...
自动生成科技新闻摘要。从多个来源(RSS、Twitter、GitHub、Web Search)抓取科技新闻,整合后生成摘要。
Sync OpenRouter models used by OpenClaw into this installation's config. Fetches the OpenClaw app leaderboard from OpenRouter, verifies model IDs against the...