Security Audit
recallai-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
recallai-automation received a trust score of 100/100, 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, 0 high, 0 medium, and 0 low severity. Key findings include Broad Tool Orchestration 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 17, 2026 (commit 99e2a295). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| INFO | Broad Tool Orchestration via Rube MCP The skill is designed to interact with the Rube MCP (Managed Control Plane), which acts as a general-purpose orchestrator for various tools, including 'recallai'. While this is the intended functionality of the Rube MCP, it inherently grants the agent broad capabilities to discover, manage connections for, and execute a wide range of tools. If the agent itself were compromised, the extensive permissions granted by the Rube MCP could be leveraged for unauthorized actions across multiple integrated services. This is a characteristic of using a powerful orchestration tool rather than a direct vulnerability in the skill's implementation, but it highlights the importance of securing the agent that uses this skill. Ensure that the AI agent utilizing this skill operates within a strictly controlled and monitored environment. Implement robust access controls and auditing for the agent's interactions with the Rube MCP. Regularly review the scope of tools and connections accessible via the Rube MCP to adhere to the principle of least privilege. | Static | SKILL.md:1 |
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