Security Audit

geocodio-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

geocodio-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 Potential for Excessive Permissions or Command Injection 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 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

Shell Execution

1 finding

Dynamic Code

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
HIGH	Potential for Excessive Permissions or Command Injection via RUBE_REMOTE_WORKBENCH The skill documentation references `RUBE_REMOTE_WORKBENCH` for 'Bulk ops' using `run_composio_tool()`. The term 'workbench' and the generic `run_composio_tool()` function suggest a capability for executing more complex or arbitrary logic beyond simple API calls. Without clear constraints or sandboxing details, this could allow for arbitrary code execution, command injection, or access to system resources with excessive permissions if a malicious prompt instructs the LLM to misuse this tool. This poses a significant risk to the integrity and security of the agent's environment. Provide explicit documentation detailing the exact capabilities, execution environment, and security boundaries of `RUBE_REMOTE_WORKBENCH` and `run_composio_tool()`. Ensure that this tool operates within a strictly sandboxed environment, preventing arbitrary code execution or unauthorized access to sensitive system resources. If code execution is intended, specify the language, available libraries, and any security restrictions.	LLM	SKILL.md:60

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