Security Audit
googletasks-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
googletasks-automation received a trust score of 86/100, 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, 1 high, 0 medium, and 0 low severity. Key findings include Unversioned External Platform 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 | |
|---|---|---|---|---|
| HIGH | Unversioned External Platform Dependency The skill explicitly depends on the Rube MCP platform, as indicated by `requires: {"mcp": ["rube"]}` in the manifest and instructions to add `https://rube.app/mcp` as an MCP server. There is no version pinning or integrity checking mechanism specified for the Rube MCP itself. This means the skill will always use the latest version of the tools provided by `rube.app/mcp`. A compromise of the `rube.app` domain or the MCP server could lead to the skill executing malicious or altered tools, potentially resulting in data exfiltration, unauthorized actions, or other security breaches without the user's explicit knowledge or consent. Implement mechanisms to verify the integrity and version of the Rube MCP tools. This could involve cryptographic signatures, explicit version pinning, or a trusted registry for MCPs. Users should be made aware of the risks associated with relying on unversioned external services. | LLM | SKILL.md:1 |
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