Security Audit
HeyGen Automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
HeyGen 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 Managed Connector Provider (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 Managed Connector Provider (MCP) Dependency The skill's manifest specifies a dependency on the 'rube' Managed Connector Provider (MCP) but does not pin it to a specific version. This means the skill will always use the latest version of 'rube' available through the Composio platform. While this ensures access to the newest features, it also introduces a supply chain risk:
- **Lack of Reproducibility:** The skill's behavior might change if 'rube' updates in an incompatible way.
- **Vulnerability Introduction:** If a future version of 'rube' introduces a security vulnerability or malicious code, this skill would automatically inherit it without explicit review or control.
- **Breaking Changes:** Updates to 'rube' could break the skill's functionality without warning. If the Composio platform allows, specify a precise version or version range for the 'rube' MCP in the `requires` field of the manifest. This ensures that the skill uses a known, tested, and stable version of the dependency, reducing the risk of unexpected behavior or security issues from upstream changes. | Static | Manifest:1 |
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