Security Audit

prerender-automation

github.com/ComposioHQ/awesome-claude-skills

AI SkillCommit 27904475d127

TRUSTED

Scanned about 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

prerender-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 for Arbitrary Tool Execution 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

Manifest Analysis

100%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

85%

Behavioral Risk Signals

Shell Execution

1 finding

Dynamic Code

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
HIGH	Potential for Arbitrary Tool Execution via RUBE_REMOTE_WORKBENCH The skill documentation advertises `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` for 'Bulk ops'. This suggests the ability to execute arbitrary Composio tools or code within a remote environment. If `run_composio_tool()` is not properly sandboxed or restricted, it could lead to command injection, data exfiltration, or the invocation of other tools with excessive permissions, allowing an attacker to perform unauthorized actions or access sensitive data. Clarify the exact scope and limitations of `RUBE_REMOTE_WORKBENCH` and `run_composio_tool()`. Ensure that `run_composio_tool()` is strictly sandboxed and only allows execution of explicitly permitted and safe operations. If it can execute arbitrary Composio tools, ensure those tools themselves are secure and their permissions are minimized. Consider if this broad 'Bulk ops' capability is truly necessary for the skill's intended purpose, or if more specific, restricted tools should be exposed instead.	LLM	SKILL.md:45

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