Security Audit

chatbotkit-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

chatbotkit-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, 0 high, 1 medium, and 0 low severity. Key findings include Skill exposes broad Rube MCP capabilities.

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

93%

Behavioral Risk Signals

Shell Execution

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
MEDIUM	Skill exposes broad Rube MCP capabilities The skill's documentation guides the LLM to use generic Rube MCP tools such as `RUBE_SEARCH_TOOLS`, `RUBE_MULTI_EXECUTE_TOOL`, and `RUBE_REMOTE_WORKBENCH`. While the skill's stated purpose is Chatbotkit automation, these underlying Rube MCP tools grant access to a wide range of functionalities across various toolkits, not limited to Chatbotkit. The `RUBE_MULTI_EXECUTE_TOOL` allows execution of any discovered tool, and `RUBE_REMOTE_WORKBENCH` is described for 'Bulk ops' using `run_composio_tool()`, implying significant programmatic control. This broad exposure could be misused by a compromised LLM to perform unauthorized actions on other integrated systems or data, beyond the intended scope of Chatbotkit automation. To mitigate this risk, consider the following: 1. If possible, configure the Rube MCP instance used by this skill to restrict access to only Chatbotkit-related tools. 2. Implement stricter access controls or scope limitations within the Rube MCP configuration for this specific skill's usage. 3. Clearly document the full scope of Rube MCP capabilities and the potential risks of broad tool access when integrating this skill. 4. Evaluate if `RUBE_REMOTE_WORKBENCH` is strictly necessary for Chatbotkit automation, and if not, remove its mention or usage from the skill's documentation.	LLM	SKILL.md:47

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