Security Audit
labs64-netlicensing-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
labs64-netlicensing-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 Potential Excessive Permissions 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 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 | Potential Excessive Permissions via RUBE_REMOTE_WORKBENCH The skill recommends using `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` for 'Bulk ops'. While the skill's stated purpose is 'Labs64 Netlicensing Automation', a 'workbench' tool with a generic `run_composio_tool()` function could potentially allow the LLM to execute arbitrary Composio tools beyond the intended scope of Labs64 Netlicensing. If `run_composio_tool()` is not strictly confined to the `labs64_netlicensing` toolkit or specific allowed operations, it could grant excessive permissions to the LLM, enabling it to interact with other toolkits or perform unintended actions. Ensure that `RUBE_REMOTE_WORKBENCH` and its `run_composio_tool()` function, when invoked within the context of this skill, are strictly scoped to only allow operations relevant to the `labs64_netlicensing` toolkit. Provide clear documentation or configuration to limit the tools and arguments that can be executed via the workbench for this specific skill. | Static | SKILL.md:64 |
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