Security Audit
poptin-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
poptin-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 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 | Broad tool execution via RUBE_REMOTE_WORKBENCH The skill instructs the LLM to use `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` for 'Bulk ops'. The documentation does not explicitly state that `run_composio_tool()` is limited to Poptin-specific operations or tools. If `run_composio_tool()` can execute arbitrary tools from other Composio toolkits available via Rube MCP, this grants the skill excessive permissions beyond its stated purpose of 'Automate Poptin tasks'. This could allow an attacker to leverage the skill to perform unintended actions on unrelated services if the LLM is prompted to use `run_composio_tool()` with non-Poptin tools. Clarify the scope of `run_composio_tool()` when used with `RUBE_REMOTE_WORKBENCH`. Explicitly state that it is restricted to Poptin-related tools, or provide guidance on how to ensure it only executes tools within the intended toolkit. If it is indeed unrestricted, document the implications of this broad access and consider if it is necessary for a Poptin-specific skill. | LLM | SKILL.md:76 |
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