openclaw-agent-computePublic HTTP client skill exposing compute.* tools by calling a private Compute Gateway over HTTPS. Includes a starter kit to run OpenClaw preconfigured.
Install via ClawdBot CLI:
clawdbot install aleksandrkrivolap/openclaw-agent-computeGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
Exec(Calls external URL not in known-safe list
https://compute.example.com`AI Analysis
The skill acts as a controlled client to a user-configured private compute gateway, with no evidence of hidden instructions, credential harvesting, or obfuscation. The primary risk is the user misconfiguring the gateway URL to an untrusted endpoint, but the skill itself does not exfiltrate data to unauthorized servers.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 22, 2026
Data scientists use this skill to automate model training and data preprocessing tasks by executing compute-intensive scripts in isolated sessions. It enables seamless artifact management for uploading datasets and downloading model outputs, streamlining iterative experimentation.
DevOps teams integrate this skill into CI/CD pipelines to run automated tests and build processes in secure, ephemeral compute environments. It allows for artifact handling of logs and binaries, ensuring reproducible builds and efficient resource usage tracking.
Researchers leverage this skill to perform complex simulations and data analysis in controlled compute sessions, with artifact support for uploading input parameters and downloading results. It facilitates collaboration by managing session states and costs across multiple experiments.
Financial analysts employ this skill to execute backtesting algorithms and risk models on private compute gateways, with artifact capabilities for uploading historical data and retrieving performance reports. It ensures secure, scalable computation for sensitive financial data.
Media companies use this skill to automate video rendering and image processing tasks by offloading compute to dedicated sessions. Artifact management supports uploading raw media files and downloading processed outputs, optimizing production workflows.
Offer this skill as part of a subscription-based platform where users pay monthly for access to compute tools and gateway services. Revenue is generated through tiered pricing based on session usage, storage, and support levels, targeting enterprises with scalable needs.
Implement a usage-based billing model where customers are charged per compute session, API call, or artifact storage. This aligns costs with actual consumption, appealing to startups and researchers with variable workloads, with revenue tied to gateway usage metrics.
Sell enterprise licenses for on-premises or private cloud deployments, including customization and dedicated support. Revenue comes from upfront license fees and ongoing maintenance contracts, targeting large organizations requiring high security and compliance.
💬 Integration Tip
Ensure the private Compute Gateway is properly configured with HTTPS and API keys, and use the provided starter kit to quickly deploy OpenClaw with environment variables for seamless integration.
Scored Apr 19, 2026
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