Security Audit
neverbounce-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
neverbounce-automation received a trust score of 95/100, 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, 1 medium, and 0 low severity. Key findings include Excessive Permissions via Generic Tool Execution.
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 | |
|---|---|---|---|---|
| MEDIUM | Excessive Permissions via Generic Tool Execution The skill provides instructions for using generic Rube MCP tools (`RUBE_SEARCH_TOOLS`, `RUBE_MULTI_EXECUTE_TOOL`, `RUBE_REMOTE_WORKBENCH`) which, if not properly constrained by the LLM's internal logic or platform policies, could allow the LLM to discover and execute tools from any toolkit connected to Rube MCP, not solely the intended 'neverbounce' toolkit. While the skill's description focuses on Neverbounce automation, the provided tool usage patterns are generic and do not explicitly enforce a toolkit scope for execution, potentially leading to broader access than intended if other toolkits are connected to Rube MCP. To mitigate, ensure that the LLM's calls to `RUBE_SEARCH_TOOLS` and `RUBE_MULTI_EXECUTE_TOOL` are explicitly scoped to the 'neverbounce' toolkit (if Rube MCP supports such a parameter), or that the platform hosting the LLM enforces strict access controls on which toolkits can be accessed by this skill. If broader access to other Rube MCP toolkits is intended, the skill's description should clearly state the full scope of accessible toolkits. | LLM | SKILL.md:60 |
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