Security Audit
formsite-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
formsite-automation received a trust score of 93/100, 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 MCP dependency.
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 | Unpinned MCP dependency The skill's manifest declares a dependency on the 'rube' MCP without specifying a version or capability constraint. This means the skill will accept any version of the 'rube' MCP, potentially exposing it to breaking changes, new vulnerabilities, or unwanted features introduced in future MCP updates without explicit review or control. This introduces a supply chain risk, as the skill's behavior and security posture are entirely dependent on the evolving state of an external service without a mechanism for explicit control or review. Specify a version constraint or capability requirement for the 'rube' MCP dependency in the manifest to ensure stability and security. For example, if the MCP supports versioning, specify a minimum or exact version. | Static | manifest:3 |
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