Models
v1.0.0Choose AI models for coding, reasoning, and agents with cost-aware, task-matched recommendations.
⭐ 2· 822·3 current·4 all-time
byIván@ivangdavila
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description ('Models' for cost- and task-aware model recommendations) matches the SKILL.md content. There are no unexpected required binaries, env vars, or config paths.
Instruction Scope
SKILL.md contains high-level rules and pragmatic guidance for choosing models; it does not instruct the agent to read system files, access credentials, call external endpoints, or perform unrelated actions.
Install Mechanism
No install spec and no code files — nothing is downloaded or written to disk. This is the lowest-risk model (instruction-only).
Credentials
The skill declares no environment variables, credentials, or config paths. No sensitive secrets are requested or needed for the stated purpose.
Persistence & Privilege
No 'always: true' flag and no install; however disableModelInvocation is not set, so the model could invoke the skill autonomously by default. For a non-sensitive guidance-only skill this is generally acceptable, but you can require explicit invocation if you prefer.
Assessment
This skill is coherent and low-risk: it's a bundle of best-practice guidelines for choosing models and doesn't require credentials or install anything. If you want to be extra cautious, note that the skill is model-invocable by default (it may be used autonomously); if you prefer explicit use only, set disableModelInvocation or require user invocation. Also verify the recommendations fit your specific cost/performance constraints before relying on them operationally.Like a lobster shell, security has layers — review code before you run it.
latestvk97de6qx4zyhp4910xes3bvdk580wkv2
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🤖 Clawdis
OSLinux · macOS · Windows
