Security Audit
autom-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
autom-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 Broad Rube MCP Tool Access.
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 | Broad Rube MCP Tool Access The skill's manifest requires access to the entire Rube MCP toolkit (`mcp: ["rube"]`). This grants the skill the ability to use powerful Rube MCP tools such as `RUBE_MULTI_EXECUTE_TOOL` and `RUBE_REMOTE_WORKBENCH`. `RUBE_MULTI_EXECUTE_TOOL` allows the execution of any tool discovered via `RUBE_SEARCH_TOOLS` for any connected toolkit (e.g., 'autom'). `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` suggests capabilities for complex or arbitrary operations. This broad access to Rube MCP's full functionality could lead to unintended or malicious actions if the skill is compromised or misused, as it can perform any operation allowed by any connected Composio toolkit. Restrict the `requires` field in the manifest to only the specific Rube MCP tools absolutely necessary for the skill's intended functionality (e.g., `mcp: ["rube_search_tools", "rube_manage_connections", "rube_multi_execute_tool"]` if `RUBE_REMOTE_WORKBENCH` is not strictly needed, and ideally, further scope down if possible). Alternatively, implement stricter internal controls within the Rube MCP system to limit the scope of actions for specific skill invocations. | LLM | SKILL.md:1 |
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