Security Audit
landbot-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
landbot-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, 0 high, 1 medium, and 0 low severity. Key findings include Broad tool execution capability 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 | |
|---|---|---|---|---|
| MEDIUM | Broad tool execution capability via RUBE_REMOTE_WORKBENCH The skill documentation explicitly mentions `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` for 'Bulk ops'. This tool provides a generic mechanism to execute arbitrary Composio tools. While intended for bulk operations, it grants the AI agent a broad capability to interact with any available Composio toolkit, potentially extending beyond the stated purpose of 'Landbot Automation' if not carefully constrained by the agent's prompt or environment. This represents an excessive permission as the skill provides a pathway for the agent to perform actions outside its declared scope. Evaluate if the `RUBE_REMOTE_WORKBENCH` tool is strictly necessary for Landbot automation. If it is, ensure the AI agent's prompt or environment strictly limits the `tool_slug` arguments passed to `run_composio_tool()` to only Landbot-related operations. Alternatively, consider providing a more specific tool for bulk Landbot operations that does not expose generic tool execution capabilities. | LLM | SKILL.md:69 |
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