Auto Model Router
v1.0.0Auto Model Router - Automatically select the best model based on task complexity for OpenClaw agents
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
OpenClaw
Benign
medium confidencePurpose & Capability
The name/description (auto-selecting models by task) matches the provided instructions and config files (8 task categories, Plan A/B/C mappings). No unrelated binaries or secrets are requested and the included config files are coherent with the stated goal.
Instruction Scope
SKILL.md stays focused on classification, mapping, and configuration. It does instruct the agent to save config (~/.openclaw/skills/auto-model-router/), auto-reload OpenClaw, and spawn 'sub-agents' for burst tasks — actions that modify agent state and create subordinate agents. Those behaviors are within the skill's purpose but are higher-privilege operations you should be aware of.
Install Mechanism
No install spec and no code files to write or execute; this is instruction-only which minimizes install-time risk.
Credentials
The skill declares no required environment variables or credentials (consistent with instruction-only design). However, its runtime behavior assumes access to model/provider endpoints (e.g., 'openai/*', 'anthropic/*', 'google/*', 'zhipu/*') and mentions 'API identification' for unknown models — which implies the agent or platform must already have provider credentials configured. The skill itself does not request unrelated secrets.
Persistence & Privilege
always:false and user-invocable:true. The skill will write its own config under the user skill path and ask to reload OpenClaw and create subagents. These are reasonable for this skill's function but represent elevated actions (changing agent state and spawning subagents) that you may want to control or review.
Assessment
This skill appears to do what it claims and contains only configuration and prose — no code is installed. Before enabling it: 1) confirm your OpenClaw environment already has the provider credentials (OpenAI, Anthropic, Google, Zhipu, etc.) it will rely on, since the skill doesn't request them; 2) review and back up your OpenClaw config because the skill may auto-save configs and reload the agent; 3) if you want to limit risk, test in a sandbox agent/account that permits creating subagents and reloading, and verify what permissions those subagents will have; 4) if you require strict auditability, ask the skill author for an explicit runtime flow showing how subagents are created and which endpoints they call.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.