Security Audit

cloudconvert-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

cloudconvert-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 access to external Cloudconvert operations via Rube MCP tools.

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

Network Access

1 finding

Shell Execution

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
HIGH	Broad access to external Cloudconvert operations via Rube MCP tools The skill provides access to powerful Rube MCP tools (`RUBE_MULTI_EXECUTE_TOOL`, `RUBE_REMOTE_WORKBENCH`) which can execute a wide range of Cloudconvert operations. While the skill advises discovering tools and checking schemas, it does not inherently restrict the scope of operations an LLM can perform. An LLM, if compromised or misused, could leverage these tools to perform unintended or malicious actions on the connected Cloudconvert account, such as data modification, deletion, or exfiltration, depending on the permissions granted to the Cloudconvert connection. The `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` (line 77) is particularly broad, suggesting arbitrary Composio tool execution. Implement more granular access controls or explicit whitelisting of allowed Cloudconvert operations within the Rube MCP setup or the Composio toolkit configuration. Provide clearer guidance or constraints to the LLM on the intended scope of operations. Consider using a dedicated, least-privilege Cloudconvert account for automation.	LLM	SKILL.md:50

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