Security Audit

zenrows-automation

github.com/ComposioHQ/awesome-claude-skills

AI SkillCommit 99e2a2951545

TRUSTED

Scanned about 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

zenrows-automation received a trust score of 90/100, 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, 1 high, 0 medium, and 0 low severity. Key findings include Exposure of powerful RUBE_REMOTE_WORKBENCH tool.

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

85%

Behavioral Risk Signals

Network Access

1 finding

Filesystem Write

1 finding

Shell Execution

1 finding

Dynamic Code

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
HIGH	Exposure of powerful RUBE_REMOTE_WORKBENCH tool The skill documentation recommends using `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` for 'Bulk ops'. The generic nature of 'workbench' and `run_composio_tool()` suggests it could allow the execution of arbitrary Composio tools. If the underlying Composio tools have broad capabilities (e.g., filesystem access, arbitrary code execution, network requests) and are not properly constrained or if user input is directly passed to them, this could lead to excessive permissions, command injection, or data exfiltration. The skill does not provide any explicit warnings or limitations regarding the scope of operations possible via this tool, making it a potential high-risk vector if misused by the LLM or a malicious actor. Clarify the exact scope and limitations of `RUBE_REMOTE_WORKBENCH` and `run_composio_tool()`. If it allows broad operations, add explicit warnings about potential security risks and advise strict input validation and sandboxing for any user-controlled arguments. Consider if such a powerful, generic tool should be exposed without more specific use-case definitions or if its capabilities can be narrowed.	LLM	SKILL.md:60

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