Security Audit

teamcamp-automation

github.com/ComposioHQ/awesome-claude-skills

AI SkillCommit 27904475d127

TRUSTED

Scanned about 2 months ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

teamcamp-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 Use of `RUBE_REMOTE_WORKBENCH` for bulk operations implies 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 20, 2026 (commit 27904475). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

100%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

85%

Behavioral Risk Signals

Shell Execution

1 finding

Excessive Permissions

1 finding

Security Findings1

Severity	Finding	Layer	Location
HIGH	Use of `RUBE_REMOTE_WORKBENCH` for bulk operations implies excessive permissions and potential for arbitrary code execution The skill recommends using `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` for 'Bulk ops'. The term 'workbench' often implies an environment for executing arbitrary code or scripts, and 'remote' suggests this execution occurs on a remote server. Without strict sandboxing and robust input validation, this tool could allow for arbitrary command execution, data exfiltration, or other highly privileged operations, granting excessive permissions to the agent. The skill does not provide details on the security controls or sandboxing applied to `RUBE_REMOTE_WORKBENCH`. Review the capabilities and security implications of `RUBE_REMOTE_WORKBENCH`. Ensure it operates within a strictly sandboxed environment with robust input validation and minimal necessary permissions. If arbitrary code execution is intended, clearly document its security model and potential risks. Consider if a more constrained tool could achieve the 'Bulk ops' functionality.	LLM	SKILL.md:74

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