Security Audit

bolt-iot-automation

github.com/ComposioHQ/awesome-claude-skills

AI SkillCommit 99e2a2951545

TRUSTED

Scanned 6 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

bolt-iot-automation received a trust score of 94/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.

SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Excessive Permissions via Dynamic Tool Execution and 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 17, 2026 (commit 99e2a295). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

100%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

93%

Behavioral Risk Signals

Network Access

1 finding

Shell Execution

1 finding

Dynamic Code

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Excessive Permissions via Dynamic Tool Execution and Remote Workbench The skill is designed to leverage highly dynamic and powerful tools provided by Rube MCP, specifically `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH`. `RUBE_MULTI_EXECUTE_TOOL` allows the LLM to dynamically discover and execute any tool available through Rube MCP. This means the skill's effective permissions are not statically defined but depend on the potentially broad range of tools exposed by the Rube platform. If Rube MCP exposes tools with broad system access, data manipulation, or network capabilities, the skill effectively inherits these permissions. Furthermore, the skill explicitly mentions `RUBE_REMOTE_WORKBENCH` for 'Bulk ops' and using `run_composio_tool()`. This strongly implies a code execution environment. If this workbench is not strictly sandboxed, it could allow for arbitrary code execution, privilege escalation, or unauthorized actions beyond the intended scope of Bolt Iot automation. Review the scope of tools accessible via Rube MCP and ensure they adhere to the principle of least privilege. Implement strict access controls and sandboxing for the `RUBE_REMOTE_WORKBENCH` to prevent arbitrary code execution or unintended system access. Clearly document the exact permissions and capabilities of the Rube MCP tools and workbench used by this skill.	LLM	SKILL.md:56

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