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Kyma API: pick a model

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by community

No community reviews yet
144,126,000installs
Updated Sep 2026

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Description

Choose a model on Kyma API for a specific job by comparing real per-token price, measured 30-day uptime, and fit for the task. Use when the user asks which model to use, what the cheapest model for something is, whether a model is up or reliable, how two models compare on price, or wants a model configured for Cline, Cursor, Claude Code, Roo Code or another coding agent.

Install Kyma API: pick a model

Run this in your OpenClaw agent to add Kyma API: pick a model from the ClawHub registry.

terminal
$openclaw skills install kyma-pick-a-model

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

安全85/100

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 Kyma API: pick a model safe to install?

Kyma API: pick a model has a SkillsReview security score of 85/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does Kyma API: pick a model cost?

Kyma API: pick a model is free to install for OpenClaw via ClawHub.

What are the best alternatives to Kyma API: pick a model?

You can compare Kyma API: pick a model side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install Kyma API: pick a model?

Install Kyma API: pick a model from ClawHub at clawhub.ai/skills/kyma-pick-a-model, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6120.00 / 5.00
Installs144,126,000
Last UpdateSep 13, 2026
Actively maintained (1d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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