附近停车场
v0.1.0Find nearby car parks. Invoke when user asks for parking near me.
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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 match the declared inputs/outputs. No binaries, env vars, or installs are requested that would be unrelated to finding nearby parking.
Instruction Scope
The SKILL.md defines inputs, outputs, error codes and privacy guidance and stays within scope. Two minor issues: (1) it references STANDARD_RESPONSE.md via an absolute file:// path (/Users/mac_lkm/...), which may not exist for the runtime agent and suggests an expectation to read a local file—clarify whether that file is bundled or required; (2) the instructions do not state what data provider or API to call (only an error code PROVIDER_UNAVAILABLE), so implementers must supply the actual data source and any required credentials.
Install Mechanism
No install spec and no code files — lowest-risk instruction-only skill. Nothing is downloaded or written to disk by the skill itself.
Credentials
No environment variables, credentials, or config paths are requested. The data access/credential needs are not declared in the skill and would need to be provided externally by an integrator.
Persistence & Privilege
Skill is user-invocable and not always-enabled. It does not request persistent presence or system-wide configuration changes.
Assessment
This skill is coherent for finding nearby parking, but ask the publisher (or check your integrator settings) before installing: (1) where will POI data come from? The SKILL.md does not name an API/provider or required credentials, so you’ll need to provide or approve a data source; (2) the doc references a local STANDARD_RESPONSE.md via an absolute file:// path — confirm whether that file will be bundled or whether the agent is expected to read files on disk; (3) ensure the skill only runs queries after explicit user location consent (the skill says so, but enforce it in your integration) and review rate-limiting and data-retention behavior. If those questions are answered satisfactorily, the skill appears internally consistent.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.