Security Audit
yousearch-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
yousearch-automation received a trust score of 85/100, 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 Dynamic Tool Discovery and Execution Grants Excessive Permissions.
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 20, 2026 (commit 27904475). 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 | Dynamic Tool Discovery and Execution Grants Excessive Permissions The skill instructs the agent to dynamically discover available tools via `RUBE_SEARCH_TOOLS` (lines 29, 38) and subsequently execute them using `RUBE_MULTI_EXECUTE_TOOL` (line 49). Additionally, `RUBE_REMOTE_WORKBENCH` is mentioned for 'Bulk ops' (line 72). This design pattern grants the agent broad, dynamic execution capabilities, allowing it to potentially access and execute any tool registered with the Rube MCP, not just those explicitly related to Yousearch. This could lead to unintended actions or privilege escalation if the agent's reasoning is compromised or if malicious tools are available through the MCP. Implement stricter access controls on the Rube MCP to limit what tools an agent can discover and execute. Restrict the scope of `RUBE_SEARCH_TOOLS` to specific toolkits or use cases. Ensure that `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH` are used with explicit, narrow permissions, and that any remote execution environment is properly sandboxed and monitored. | LLM | SKILL.md:29 |
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