Security Audit
botsonic-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
botsonic-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 Broad tool execution scope via 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 | Broad tool execution scope via Rube MCP The skill's documentation instructs the agent to use generic Rube MCP tools such as `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH`. These tools are designed to execute any tool slug provided by the Rube MCP. While the skill's stated purpose is 'Botsonic Automation', the underlying mechanism grants broad access to all capabilities exposed by the configured Rube MCP, not just those specifically related to Botsonic. This could lead to unintended actions or access to unauthorized functionalities if the Rube MCP provides tools beyond the intended scope or if the agent is not sufficiently constrained by the host LLM. Consider if the skill truly requires access to the full breadth of Rube MCP tools, or if a more granular permission model or a more specialized MCP integration could be used. If not possible, ensure the host LLM is strictly instructed to only use Botsonic-related tools discovered via `RUBE_SEARCH_TOOLS` and that the Rube MCP itself is configured to only expose necessary tools. | Static | SKILL.md:48 |
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