China Home Appliances Suppliers
v1.0.1Comprehensive home appliances industry suppliers guide for international buyers – provides detailed information about China's major appliances, kitchen appli...
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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 promise industry sourcing guidance; run.py and data.json provide exactly that (industry overview, supply chain, regional clusters, sourcing guide). No unrelated binaries, credentials, or external services are requested.
Instruction Scope
SKILL.md instructs natural-language queries and documents the Python API. The implementation reads only the included data.json and returns structured data. The instructions do not ask the agent to read arbitrary host files, environment variables, or transmit data to external endpoints.
Install Mechanism
No install spec (instruction-only skill) and the bundle contains local code/data only. No remote downloads, package installs, or archive extraction are defined.
Credentials
The skill requires no environment variables, credentials, or config paths. The functionality is fully satisfied by the embedded data.json and run.py.
Persistence & Privilege
always:false (no forced inclusion). disable-model-invocation is false (agent can invoke autonomously), which is the platform default; there are no additional privileges or requests to modify other skills or system settings.
Assessment
This skill appears coherent and low-risk: it reads only the included data.json and exposes simple read-only functions. Before installing, consider: (1) provenance — the package lists sources but has no homepage or publisher info, so verify the data against primary sources if you need authoritative evidence; (2) data sensitivity — the author states it contains cluster-level intelligence and no individual supplier contacts, but skim data.json yourself to confirm it contains only aggregated info you expect; (3) execution sandboxing — if you plan to run the Python file in an environment with sensitive data, run it in a sandbox or isolated environment (it performs local file reads only); (4) trust decisions — this skill is fine for research and guidance but do independent due diligence before engaging suppliers. Overall there are no technical red flags (no network calls, no credential requests, no remote installs).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.
