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yay2008

OpenClaw Model Optimizer

by yay2008 · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ Security Clean
172
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2
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Install in OpenClaw
/install openclaw-model-optimizer
Description
Optimize OpenClaw model configuration by declaring missing model capabilities (vision/multimodal input, context window, max output tokens, reasoning). Use wh...
Usage Guidance
This skill is coherent for its purpose but will read and modify your OpenClaw config file (~/.openclaw/openclaw.json). It promises to create a backup and to ask for confirmation before making changes — verify the backup exists before proceeding, carefully review any capability values it proposes (provider-id/model-id keys must exactly match your config), and restart OpenClaw after edits. Because it's an instruction-only skill with no external installs or credential requests, there is no obvious exfiltration risk from the skill itself, but always review proposed edits before allowing them.
Capability Analysis
Type: OpenClaw Skill Name: openclaw-model-optimizer Version: 1.1.0 The skill bundle is a configuration utility designed to optimize OpenClaw model settings by updating `~/.openclaw/openclaw.json`. It includes safety measures such as mandatory backups (`openclaw.json.bak`) and explicit instructions to seek user confirmation before applying changes, with no evidence of data exfiltration or unauthorized execution.
Capability Assessment
Purpose & Capability
Name/description (model capability declarations for OpenClaw) match the actions described: reading and updating openclaw.json to add agents.defaults.models entries. No unrelated credentials, binaries, or external services are required.
Instruction Scope
Runtime instructions explicitly read and write the user's OpenClaw config (~/.openclaw/openclaw.json) and create a backup. The skill instructs the agent to ask for user confirmation before applying changes and not to overwrite existing declarations without consent — this is appropriate but does mean the agent will need filesystem read/write access to that path.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is downloaded or written by an installer, minimizing installation risk.
Credentials
No environment variables, credentials, or config paths beyond the single OpenClaw config file are requested. The requested access is proportional to the stated task.
Persistence & Privilege
always:false and no special privileges are requested. The only persistence is modifying a local config file (with a backup). Users should be aware the skill will alter a user config file if they confirm the changes.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install openclaw-model-optimizer
  3. After installation, invoke the skill by name or use /openclaw-model-optimizer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
Add config backup step: back up openclaw.json before modifying
v1.0.0
Initial release: model capability optimizer with reference for popular models
Metadata
Slug openclaw-model-optimizer
Version 1.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is OpenClaw Model Optimizer?

Optimize OpenClaw model configuration by declaring missing model capabilities (vision/multimodal input, context window, max output tokens, reasoning). Use wh... It is an AI Agent Skill for Claude Code / OpenClaw, with 172 downloads so far.

How do I install OpenClaw Model Optimizer?

Run "/install openclaw-model-optimizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is OpenClaw Model Optimizer free?

Yes, OpenClaw Model Optimizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does OpenClaw Model Optimizer support?

OpenClaw Model Optimizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created OpenClaw Model Optimizer?

It is built and maintained by yay2008 (@yay2008); the current version is v1.1.0.

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