AI模型切换器
Analysis
This appears to be a purpose-aligned model-switching helper, but users should notice that cloud modes can route future prompts or documents to third-party models and that the skill keeps local usage logs.
Findings (3)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.
Write-Host " openclaw config set model `"$($model.id)`"" ... Write-Host "📝 请手动执行以上命令完成切换"
The skill's main action is to change the OpenClaw model setting, which can affect future agent behavior, cost, and provider routing. The visible script makes this a manual user step.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
长文档处理 | `longdoc` | Kimi云模型 ... 编程开发 | `code` | DeepSeek云模型
Several task modes intentionally select cloud models instead of the local Ollama model, which changes where future prompts, code, or documents may be processed.
$logFile = Join-Path $configDir "switch.log"; $statsFile = Join-Path $configDir "stats.json" ... Add-Content $logFile
The skill persists switch history and usage statistics locally. The visible code records model/task metadata and token/cost counters, not prompt contents.
