diagnose-ollama-calls
by community
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Description
Find out what went wrong with your own Ollama calls and fix it, using LLMxRay's local, read-only MCP tools. Use when a local model is slow, a prompt is rejected or silently cut for exceeding the context, the prompt cache seems lost between turns, a model runs partly on CPU, tool schemas crowd the prompt, or you must choose which local model and context length fit in video memory. Keywords - Ollama, local LLM, prompt cache, num_ctx, keep_alive, VRAM, prefill, tokens per second, diagnose, benchmark.
Install diagnose-ollama-calls
Run this in your OpenClaw agent to add diagnose-ollama-calls from the ClawHub registry.
openclaw skills install diagnose-ollama-callsRequires ClawHub registry access. Review the security analysis below before installing.
Security Analysis
Open Source
Code is publicly available for audit.
Community Verified
Reviewed by the ClawHub community.
Community Reviews
Real user ratings only — separate from the editorial assessment and ClawHub signal.
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Frequently asked questions
Is diagnose-ollama-calls safe to install?
diagnose-ollama-calls has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.
How much does diagnose-ollama-calls cost?
diagnose-ollama-calls is free to install for OpenClaw via ClawHub.
What are the best alternatives to diagnose-ollama-calls?
You can compare diagnose-ollama-calls side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.
How do I install diagnose-ollama-calls?
Install diagnose-ollama-calls from ClawHub at clawhub.ai/skills/diagnose-ollama-calls, or use the install action on this page to copy the command for your OpenClaw agent.
Community Signal
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