Security Audit
idea-scale-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
idea-scale-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 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
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Unpinned dependency on Rube MCP The skill's manifest specifies a dependency on the 'rube' MCP without a version constraint. This means the skill will always use the latest version of the Rube MCP. If a future version of Rube MCP introduces vulnerabilities, breaking changes, or malicious code, this skill would automatically inherit them without explicit review, posing a supply chain risk. The skill also explicitly instructs users to add `https://rube.app/mcp` as an MCP server, which could serve a changing version. Pin the Rube MCP dependency to a specific, known-good version in the manifest (e.g., `"rube@1.2.3"`) to ensure stability and security. Regularly review and update the pinned version after verifying its integrity and functionality. | Static | SKILL.md:3 |
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