Security Audit

imgbb-automation

github.com/ComposioHQ/awesome-claude-skills

AI SkillCommit 99e2a2951545

TRUSTED

Scanned 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

imgbb-automation received a trust score of 78/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 2 findings: 0 critical, 1 high, 1 medium, and 0 low severity. Key findings include Unpinned Dependency in Manifest, Potential for Excessive Permissions/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

78%

Dependency Graph

100%

LLM Behavioral Safety

100%

Behavioral Risk Signals

Shell Execution

1 finding

Dynamic Code

1 finding

Excessive Permissions

1 finding

Security Findings2

Severity	Finding	Layer	Location
HIGH	Potential for Excessive Permissions/Command Injection via RUBE_REMOTE_WORKBENCH The skill documentation references `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` for 'Bulk ops'. A 'remote workbench' tool, especially one that can 'run_composio_tool()', often implies broad execution capabilities, potentially including arbitrary code execution or operations with elevated privileges on a remote system. If the arguments to `run_composio_tool()` can be influenced by untrusted input, this could lead to command injection, privilege escalation, or unauthorized actions. The skill's documentation does not provide safeguards or limitations for this powerful primitive, increasing the risk of misuse. Clarify the exact scope and security implications of `RUBE_REMOTE_WORKBENCH` and `run_composio_tool()`. Provide explicit guidance on how to safely use it, including input sanitization, least privilege principles, and any restrictions on the types of operations that can be performed. If it allows arbitrary code execution, this should be clearly stated with strong warnings and recommendations for strict input validation.	Static	SKILL.md:60
MEDIUM	Unpinned Dependency in Manifest The skill's manifest specifies a dependency on 'rube' MCP without a version constraint. This means the skill will always use the latest available version of 'rube'. Unpinned dependencies can lead to unexpected behavior, breaking changes, or the introduction of vulnerabilities if the dependency is updated with malicious or incompatible code. Pin the version of the 'rube' MCP dependency in the manifest to ensure consistent and secure behavior. For example, `"mcp": ["rube@1.2.3"]`.	Static	Manifest

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