Security Audit
iqair-airvisual-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
iqair-airvisual-automation received a trust score of 94/100, 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 Unpinned dependency on 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
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned dependency on Rube MCP The skill's manifest declares a dependency on the `rube` MCP without specifying a version. This means the skill will always use the latest version of the `rube` MCP. If a future version of `rube` MCP introduces vulnerabilities, malicious functionality, or breaking changes, this skill would automatically inherit those risks without explicit review or update. This poses a supply chain risk as the integrity and behavior of the dependency are not locked. Specify a version or a version range for the `rube` MCP dependency in the manifest (e.g., `{"mcp": ["rube@1.0.0"]}` or `{"mcp": ["rube@^1.0.0"]}`) to ensure stability and security. For MCPs, this might involve specifying a minimum compatible version or a specific endpoint that is known to be stable. | LLM | Manifest |
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