hallucinatingsplinesBuild and manage cities autonomously on Hallucinating Splines — the headless Micropolis simulator with a REST API and MCP server for AI agents.
Install via ClawdBot CLI:
clawdbot install andrewedunn/hallucinatingsplinesGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.hallucinatingsplines.com/v1/cities/$CITY_ID/actionsCalls external URL not in known-safe list
https://hallucinatingsplines.comAI Analysis
The skill communicates only with its own documented API endpoints (api.hallucinatingsplines.com, mcp.hallucinatingsplines.com) for its stated purpose of city simulation management. While it sends data to external servers, this is consistent with the skill's functionality and requires explicit user-provided API keys. No credential harvesting, hidden instructions, or obfuscation is evident.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Urban planning students and professionals use the skill to simulate autonomous city management, testing zoning strategies, infrastructure placement, and budget allocation without manual intervention. It provides a sandbox for exploring the impact of different policies on population growth and happiness metrics over time.
Game developers and AI enthusiasts integrate the skill into AI agent competitions or training environments, where agents compete to build the highest-scoring or most populous cities. It serves as a benchmark for evaluating agent decision-making in resource-constrained simulations with real-time feedback.
Data analysts and researchers leverage the skill to generate large datasets on city evolution under varying conditions, such as different seeds or action sequences. This supports studies on urban dynamics, algorithmic efficiency, or predictive modeling for infrastructure development.
Educators use the skill in classrooms to teach concepts like budgeting, power grid management, and public services through hands-on simulation. Students act as virtual mayors, making decisions that affect city scores and learning about trade-offs in urban governance.
Content creators and media outlets automate the generation of city-building narratives or visualizations by scripting interactions with the API. They produce stories, videos, or interactive reports based on simulated city histories and outcomes, engaging audiences with dynamic data.
Offer free API keys with basic rate limits and up to 5 active cities, while charging for premium tiers with higher limits, advanced analytics, or priority support. Revenue comes from subscriptions tailored to developers, researchers, and enterprises needing scalable simulation access.
License the skill as a customizable simulation platform for companies in urban tech, real estate, or government sectors. Provide tailored versions with specific datasets, integration support, and consulting services for internal training or client demonstrations.
Host paid competitions or leaderboards where users submit AI agents to compete for prizes in categories like highest happiness score or fastest growth. Generate revenue through entry fees, sponsorships, and premium features like detailed analytics for participants.
💬 Integration Tip
Use the MCP server for built-in strategy guidance and 19 tools to streamline city management, as it offers better agent experience than direct API calls alone.
Scored Jun 19, 2026
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