cfgpu-apiA powerful OpenClaw skill for managing and automating GPU container instances on CFGPU cloud platform. Designed for AI/ML developers, researchers, and conten...
Install via ClawdBot CLI:
clawdbot install r600a-code/cfgpu-apiGrade 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.cfgpu.com/userapi/v1/instance/createCalls external URL not in known-safe list
https://api.cfgpu.com/userapi/v1/region/listUses known external API (expected, informational)
discord.comAudited Apr 17, 2026 · audit v1.0
Generated May 8, 2026
Data scientists and ML engineers can rapidly spin up GPU instances for training large neural networks. The skill manages instance lifecycle, monitors costs, and supports batch operations for multi-experiment workflows.
Content creators and video editors can deploy GPU-accelerated rendering instances on-demand. Pay-as-you-go pricing eliminates idle resource costs, and integration with existing pipelines is straightforward.
Research teams can parallelize compute-intensive simulations across multiple GPU instances. The skill provides cost transparency and budget monitoring, ensuring grant funds are used effectively.
Game developers and AI startups can host real-time inference endpoints or gaming sessions on low-latency GPU instances. Automated scaling and region selection optimize performance and cost.
Educational institutions can provide students with temporary GPU environments for learning AI/ML. The skill enables easy creation and teardown of instances, with cost controls to stay within budget.
Users rent GPU instances by the day or hour, paying only for actual usage. This model targets cost-sensitive developers and researchers who need flexible compute without long-term commitments.
Offer a higher-level service that integrates automatic instance provisioning, code execution, and result retrieval using this skill. Charge a premium for convenience and automation.
Resell GPU capacity to enterprise clients while providing budgeting and monitoring dashboards powered by the skill. Revenue comes from margin on compute and value-added cost management.
💬 Integration Tip
Set the CFGPU_API_TOKEN environment variable before any API calls. For automation, wrap the provided curl commands in your CI/CD or orchestration scripts.
Scored Jun 29, 2026
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