smart-control-skill
Analysis
The skill appears coherent, but it gives an AI agent authenticated control over smart-home devices and scenes without a clear confirmation boundary.
Findings (3)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.
This skill provides AI agents with complete control over smart home devices ... air conditioner control, and scene automation
The skill explicitly grants agents control over physical smart-home devices and scene automation, but the provided artifacts do not require per-action user confirmation or narrow device/action scoping.
Checks whether tool use, credentials, dependencies, identity, account access, or inter-agent boundaries are broader than the stated purpose.
Required env vars: none ... Primary credential: none
This conflicts with the package artifacts that require MXCHIP_OAUTH_TOKEN for account-backed smart-home operations, so the registry metadata under-declares a sensitive permission boundary.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
base_url: str = "https://app.api.cloud.mxchip.com:2443/mcp" ... "Authorization": f"Bearer {self.oauth_token}" ... self.session.post(The client sends the bearer token and device-control requests to the MXCHIP cloud MCP endpoint. This is purpose-aligned and disclosed, but users should understand the external data/control boundary.
