Security Audit
goodbits-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
goodbits-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 Reliance on external MCP server introduces supply chain risk.
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
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Reliance on external MCP server introduces supply chain risk The skill explicitly instructs users to add `https://rube.app/mcp` as an MCP server. This introduces a supply chain risk, as the integrity and security of the `rube.app` endpoint directly impact the security of the tools and operations performed by this skill. A compromise of the Rube MCP server could lead to malicious tools being served to the agent. Implement robust validation and integrity checks for tools retrieved from external MCP servers. Consider pinning to specific versions or hashes of tool definitions if the MCP supports it. Monitor the reputation and security posture of `rube.app`. | LLM | SKILL.md:20 |
Scan History
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