Security Audit
dovetail-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
dovetail-automation received a trust score of 84/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 2 findings: 0 critical, 1 high, 1 medium, and 0 low severity. Key findings include Broad Execution Capability via RUBE_REMOTE_WORKBENCH, Unversioned External MCP Dependency.
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 Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Broad Execution Capability via RUBE_REMOTE_WORKBENCH The skill documentation suggests using `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()` for 'Bulk ops'. This implies a powerful execution capability that, if not properly sandboxed or constrained, could allow for arbitrary code execution, command injection, or unauthorized access to resources on the remote workbench. The vague description of this tool's functionality raises concerns about its potential for misuse. Clarify the exact capabilities and limitations of `RUBE_REMOTE_WORKBENCH` and `run_composio_tool()`. Ensure that execution within the remote workbench is strictly sandboxed, limited to predefined safe operations, and cannot be used to execute arbitrary system commands or access unauthorized resources. Provide examples of what `run_composio_tool()` can and cannot do. | LLM | SKILL.md:69 | |
| MEDIUM | Unversioned External MCP Dependency The skill explicitly depends on the 'Rube MCP' as indicated by `"requires": {"mcp": ["rube"]}` in the manifest and the instruction to connect to `https://rube.app/mcp`. No specific version for the 'rube' MCP is declared. This lack of version pinning means that updates to the Rube MCP could introduce breaking changes or security vulnerabilities without explicit review, posing a supply chain risk. The security of this skill is directly tied to the trustworthiness and ongoing security of the `rube.app` platform. If possible within the ecosystem's manifest capabilities, specify a minimum or exact version for the 'rube' MCP dependency to ensure stability and security. Provide guidance on how users can verify the integrity and security of external MCPs before integrating them. | LLM | Manifest:4 |
Scan History
Embed Code
[](https://skillshield.io/report/83d869273ee8b639)
Powered by SkillShield