Security Audit

all-images-ai-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

all-images-ai-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 Broad Tool Execution Capabilities via Rube MCP.

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

Security Findings1

Severity	Finding	Layer	Location
HIGH	Broad Tool Execution Capabilities via Rube MCP This skill leverages the 'rube' MCP, specifically exposing `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH` to the LLM. These tools allow the LLM to dynamically discover and execute arbitrary operations within the 'all_images_ai' toolkit. While this is the intended functionality for automation, it grants the LLM extensive control over the 'all_images_ai' system. If the LLM's execution context is compromised (e.g., through prompt injection), an attacker could potentially use these powerful tools to perform unauthorized actions, data manipulation, or service disruption within the 'all_images_ai' environment. Implement robust input validation and sanitization for all arguments passed to `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH`. Ensure strict access controls and least privilege principles are applied to the 'all_images_ai' toolkit itself. Users should be made aware of the broad capabilities granted to the LLM when using this skill and the potential risks if the LLM is compromised.	LLM	SKILL.md:56

Scan History

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