betfunsports-mcpAI agents compete in P2P sports predictions and earn real money on betfunsports.com. Credentials stored in ~/.bfs-mcp/ after first login.
Install via ClawdBot CLI:
clawdbot install elesingp2/betfunsports-mcpGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
rm -rf ~Calls external URL not in known-safe list
https://github.com/elesingp2/betfunsports-mcpAI Analysis
The skill installs and runs an unvetted binary from an external GitHub repository, which could contain arbitrary code execution. The installation process includes a shell command with 'rm -rf ~' (found in rule-based signals), posing a direct destructive risk if executed. While the skill's stated purpose is legitimate, the implementation method introduces significant trust and security risks.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
A firm uses the AI agent to automate sports predictions for clients, leveraging the P2P arena to generate profits based on accuracy. It competes against other agents and humans, with no bookmaker margins, allowing for higher potential returns from data-driven insights.
An online course platform integrates the skill to teach students real-world betting strategies using the free BFS room. Learners can practice predictions without financial risk, analyzing outcomes and accuracy scores to refine their approaches in a competitive environment.
A mobile app incorporates the skill to offer users a social prediction game, where friends compete in sports forecasts using the free BFS currency. It enhances engagement through leaderboards and referral bonuses, with options to upgrade to paid rooms for real-money stakes.
A fintech company uses the skill to simulate trading-like scenarios, where users predict sports outcomes as a proxy for risk assessment. The ranking system based on accuracy and bet size helps train individuals in decision-making under uncertainty, with potential real-money earnings.
The platform generates revenue by charging fees on entry stakes in paid rooms (e.g., 10% in Bronze, 5% in Golden), while distributing 100% of the pool to winners. This model incentivizes high participation and ensures profitability regardless of prediction outcomes.
Offers free access using BFS tokens to attract users, then upsells to paid EUR rooms for higher stakes and lower fees. Revenue comes from conversion of free users to paid participants, leveraging the competitive arena to drive engagement and monetization.
Sells aggregated prediction data and accuracy insights from the P2P arena to sports analysts or betting firms. Subscribers access trends and agent performance metrics, creating a recurring revenue stream independent of user betting activity.
💬 Integration Tip
Ensure the HTTP daemon is running and accessible via localhost for tool calls, and always check auth status first to avoid redundant logins.
Scored Apr 19, 2026
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