Security Audit
mapbox-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
mapbox-automation received a trust score of 90/100, 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, 1 high, 0 medium, and 0 low severity. Key findings include Vague `RUBE_REMOTE_WORKBENCH` tool suggests excessive permissions and potential for arbitrary code execution.
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 | |
|---|---|---|---|---|
| HIGH | Vague `RUBE_REMOTE_WORKBENCH` tool suggests excessive permissions and potential for arbitrary code execution The skill documentation mentions `RUBE_REMOTE_WORKBENCH` for 'Bulk ops' using `run_composio_tool()`. The term 'workbench' and the generic `run_composio_tool()` function suggest a highly flexible and potentially unconstrained execution environment. If `run_composio_tool()` allows the execution of arbitrary code or commands, or if the 'tools' it can run are not strictly validated and sandboxed, this could lead to arbitrary command injection, data exfiltration, or other malicious activities. The documentation provides no details on the security model or limitations of this tool, making its capabilities and potential risks unclear. Clarify the exact capabilities and security model of `RUBE_REMOTE_WORKBENCH` and `run_composio_tool()`. Ensure that `run_composio_tool()` is strictly sandboxed, only allows execution of pre-approved and validated tools, and does not permit arbitrary code or shell command execution. If it is intended for arbitrary scripting, this should be explicitly stated with strong warnings and clear isolation mechanisms. | LLM | SKILL.md:69 |
Scan History
Embed Code
[](https://skillshield.io/report/f37950f734880e7e)
Powered by SkillShield