Security Audit
test-app-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
test-app-automation received a trust score of 94/100, 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, 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 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 | |
|---|---|---|---|---|
| MEDIUM | Broad tool execution capability via RUBE_REMOTE_WORKBENCH The skill documentation describes the use of `RUBE_REMOTE_WORKBENCH` with `run_composio_tool()`. This implies that an agent using this skill can execute arbitrary Composio tools within a remote workbench environment. This capability extends beyond the specific 'test_app' toolkit and could potentially allow access and control over other connected toolkits or systems, leading to excessive permissions if the agent is compromised or misdirected. Clarify the scope and limitations of `RUBE_REMOTE_WORKBENCH` and `run_composio_tool()` to ensure it does not allow execution of arbitrary tools outside the intended `test_app` toolkit or with elevated privileges. If arbitrary tool execution is intended, explicitly state the security implications and necessary safeguards for agents using this capability, such as strict input validation or sandboxing. | LLM | SKILL.md:80 |
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