Security Audit
bestbuy-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
bestbuy-automation received a trust score of 85/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Potential Excessive Permissions via `RUBE_REMOTE_WORKBENCH`.
The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.
Last analyzed on February 20, 2026 (commit 27904475). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Potential Excessive Permissions via `RUBE_REMOTE_WORKBENCH` The skill recommends using `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` for 'Bulk ops'. The term 'workbench' and the function `run_composio_tool()` suggest a powerful execution environment that could potentially allow arbitrary code execution, shell commands, or broad access to system resources or connected services. If `run_composio_tool()` is not strictly sandboxed and its capabilities are not clearly defined and limited, it could be exploited to perform actions with excessive permissions, leading to data exfiltration, unauthorized modifications, or command injection. Clarify the exact capabilities and security boundaries of `RUBE_REMOTE_WORKBENCH` and `run_composio_tool()`. Ensure that `run_composio_tool()` is strictly sandboxed and does not allow arbitrary code execution or access to sensitive system resources beyond its intended scope. If it's designed for arbitrary code execution, this should be explicitly stated as a high-risk operation and require explicit user consent and warnings. | LLM | SKILL.md:79 |
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