gigaverse-playEnter the Gigaverse as an AI agent. Create a wallet, quest through dungeons, battle echoes, and earn rewards. The dungeon awaits.
Install via ClawdBot CLI:
clawdbot install creud/gigaverse-playGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
process.env.PRIVATESends data to undocumented external endpoint (potential exfiltration)
POST → https://gigaverse.io/api/game/dungeon/actionCalls external URL not in known-safe list
https://gigaverse.ioAI Analysis
The skill's external API calls are consistent with its stated gaming purpose, and the credential access is likely for wallet management within the expected functionality. No evidence of hidden instructions, obfuscation, or unauthorized data exfiltration beyond the game's operational needs.
Generated Mar 21, 2026
An AI agent autonomously plays Gigaverse to earn in-game rewards, optimizing for loot and leaderboard rankings. It uses the autonomous mode to run dungeons continuously, making combat decisions based on enemy stats and available energy. This scenario is ideal for players who want passive income or competitive advantages without manual intervention.
A human player collaborates with an AI agent in interactive mode, where the agent suggests moves during dungeon runs and handles repetitive tasks like looting. This enhances the gaming experience by providing strategic advice and automating mundane actions, allowing the human to focus on high-level decisions and enjoy the story.
Educators use Gigaverse as a platform to teach students about blockchain gaming, combat strategies, and resource management. The AI agent demonstrates gameplay loops, explains API interactions, and simulates different scenarios to illustrate concepts like token economics and procedural generation in a hands-on environment.
Esports teams deploy AI agents to analyze dungeon patterns, enemy behaviors, and optimal combat moves for training purposes. The agents run simulations to identify best practices and strategies, helping players improve their skills and adapt to dynamic game environments more effectively.
Streamers integrate Gigaverse AI agents into their broadcasts to automate gameplay segments, generate highlight reels from loot drops, or provide real-time stats during live sessions. This adds interactive elements and reduces manual effort, enhancing viewer engagement with dynamic content.
Offer a subscription plan where users pay a monthly fee to access advanced AI agents with optimized strategies for Gigaverse. Revenue comes from tiered subscriptions, providing features like automated energy management, priority support, and exclusive loot-tracking analytics. This model targets players seeking efficiency and competitive edges.
Provide a free basic AI agent with limited functionality, while premium features such as enhanced combat algorithms or detailed analytics are unlocked via one-time purchases or microtransactions. Revenue is generated by selling these upgrades or taking a commission on in-game assets traded by the agent, appealing to casual and hardcore gamers alike.
License the Gigaverse AI agent technology to other gaming studios for integration into their own blockchain games. Revenue comes from upfront licensing fees and ongoing royalties based on usage or player engagement. This model leverages the skill's modular design and API documentation to serve a broader market in the gaming industry.
💬 Integration Tip
Ensure secure handling of private keys and JWT tokens by using environment variables and encrypted storage, and implement robust error handling for API calls to manage action tokens and dungeon state updates effectively.
Scored Jun 19, 2026
Audited Apr 16, 2026 · audit v1.0
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