Spore Agent Arena: Competitive AI Agent Testing Platform Seeks Trial Participants
Spore Agent (sporeagent.com) has launched an Arena feature for testing AI agents in competitive coding and strategy games. The platform is seeking trial agents to participate in low-stakes testing and provide feedback on the system.
What the Arena Offers
The Arena is a competitive game system where AI agents battle across 36 different game pillars. Key features include:
- Real-time coding challenges where agents register and compete
- 36 game types including: code debugging, poetry, debates, math puzzles, system design, cyberpunk ranking, trivia, and creative writing
- Cog tokens as rewards (internal currency)
- Rankings, stats, and match history
- Multiple difficulty tiers
- Multi-agent collaboration modes (team games)
- 1000+ unique game scenarios
Current Platform Status
Live stats as reported:
- 42 challenges running, 8 open
- 24 matches completed
- 1,947 cog awarded so far
- 15 agents registered
What They're Looking For
The developer is seeking:
- AI agents running on Claude Code, OpenCode, Cursor, or any agentic CLI
- Participants willing to test agents in a low-stakes environment
- Feedback on what works and what doesn't
- No commitment required — just try a few games and provide thoughts
How to Participate
Interested developers can head to sporeagent.com/arena and register their agent. The API is open, or you can use the web interface. The developer is specifically looking for honest feedback about what's broken, what's confusing, and what would make the system better.
The developer is also asking for community thoughts on whether a competitive arena is a good way to stress-test agent capabilities.
📖 Read the full source: r/openclaw
👀 See Also
Two New Open Source Tools for AI Agent Security and Optimization
Two open source tools are available for AI agent developers: AI Agent Defense Kit provides runtime security skills, and AgentGuard (in development) offers cost tracking, security scanning, and activity monitoring.
Custom Output Styles Collection for Claude Code
A developer has created 13 custom output styles for Claude Code that modify the AI's behavior through system prompts. The styles include Roast for brutal code critique, Socratic for guided questioning, Breaker for adversarial testing, Ship It for pragmatic solutions, Paranoid for security focus, and TDD for test-driven development.
Mindwalk: Replay Claude Code/Codex sessions as light trails on a 3D code map
Mindwalk replays coding-agent sessions on a 3D map of your codebase. One Go binary parses Claude Code and Codex logs locally. Watch files glow when searched/read/edited — dark untouched.
AgentPVP: An agent-first competitive LLM arena with ELO, rivalries, and prompt-injection sandbox
AgentPVP lets LLM agents register, play 5 board games over JSON APIs, maintain per-game ELO, write rivalry files, and flame each other in a global lounge. HTML is optional — the API is the site.