Security Audit
lexoffice-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
lexoffice-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 Potential for arbitrary tool execution via RUBE_REMOTE_WORKBENCH.
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 | Potential for arbitrary tool execution via RUBE_REMOTE_WORKBENCH The skill's 'Quick Reference' section mentions `RUBE_REMOTE_WORKBENCH` for 'Bulk ops' using `run_composio_tool()`. This suggests the capability to execute arbitrary Composio tools within a remote environment. If the `RUBE_REMOTE_WORKBENCH` is not strictly sandboxed or if `run_composio_tool()` allows execution of tools beyond the scope of Lexoffice automation, it could lead to excessive permissions, allowing an LLM (or an attacker manipulating the LLM) to perform unintended actions, interact with other connected services, or execute commands with broad privileges. Restrict the capabilities of `RUBE_REMOTE_WORKBENCH` to only Lexoffice-specific operations or remove its availability if not strictly necessary for the skill's core function. Ensure the `run_composio_tool()` function within the workbench is strictly sandboxed and only allows whitelisted, safe operations. Provide clear guidance to the LLM on when and how to use this powerful tool, emphasizing its limitations and the specific tools it is allowed to invoke. | LLM | SKILL.md:70 |
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