Security Audit
userlist-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
userlist-automation received a trust score of 94/100, 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 capability exposed.
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 capability exposed The skill's documentation explicitly mentions and provides guidance for using `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()`. This function allows the LLM to execute arbitrary Composio tools. While the skill is titled 'Userlist Automation', this capability is not inherently restricted to Userlist-specific operations. If the underlying Composio environment has access to a wider range of tools or systems (e.g., filesystem access, other sensitive APIs), an LLM using this skill could be prompted to execute actions outside the intended Userlist scope, leading to excessive permissions or unintended side effects. If the skill is strictly intended for Userlist automation, consider removing or restricting the guidance for `RUBE_REMOTE_WORKBENCH` to only Userlist-specific bulk operations. Alternatively, ensure that the underlying Rube MCP and Composio environment enforce strict least privilege, limiting the scope of tools accessible via `run_composio_tool()` to only those necessary for Userlist tasks. If the skill is intended to be a general Composio orchestrator, clarify this broader scope in the skill's description and title. | LLM | SKILL.md:70 |
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