Auto Model Switcher
v1.1.0Automatically selects the best model based on task type and requirements. Use when: (1) Task requires specific capabilities (coding, analysis, multimodal, wr...
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by@mrcuo
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
Name and description match the instructions: the SKILL.md contains model lists, selection logic by task type, fallback rules, manual overrides, and notes to validate against openclaw.json. No unrelated env vars, binaries, or installs are requested.
Instruction Scope
Instructions remain within the stated purpose (detect task type, pick a configured model, preserve session). Two ambiguous items: (1) 'Log model selections for learning and optimization' does not specify where logs are stored or sent; (2) 'Always check if target model is available' implies reading openclaw.json or querying provider status — that may require the agent to access config or provider endpoints that are outside the skill text but are reasonable operational requirements.
Install Mechanism
Instruction-only skill with no install spec and no code files — minimal install risk because nothing is fetched or written by the skill itself.
Credentials
No environment variables, credentials, or config paths are required by the skill. The SKILL.md explicitly restricts switching to pre-configured models in openclaw.json, which is proportionate. Note: actual model availability checks or provider interactions will rely on existing agent configuration and credentials outside this skill.
Persistence & Privilege
The skill is not always-enabled and does not request elevated persistence. There is no instruction to modify other skills or system-wide agent settings. Autonomous invocation is allowed by platform default but is not combined with other high-risk flags.
Assessment
This skill appears to do what it says: automatically pick a model from your pre-configured list. Before installing: (1) confirm your openclaw.json lists only provider models you trust, (2) verify where model-selection logs are written or sent (local vs remote) and whether that meets your privacy needs, (3) ensure the agent already has the provider credentials/configuration needed to check model availability, and (4) test the skill in a limited environment to confirm it preserves session context and respects manual overrides.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.
Runtime requirements
🤖 Clawdis