Security Audit
encodian-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
encodian-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 Broad Tool Execution 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 | |
|---|---|---|---|---|
| HIGH | Broad Tool Execution via RUBE_REMOTE_WORKBENCH The skill exposes `RUBE_REMOTE_WORKBENCH` with the generic `run_composio_tool()` function for 'Bulk ops'. While the skill's stated purpose is 'Encodian Automation', the `run_composio_tool()` function is not explicitly scoped within the provided documentation to only Encodian-related operations. If the underlying Composio platform allows `run_composio_tool()` to execute arbitrary tools from other connected toolkits (e.g., file system access, email, or other SaaS integrations), an attacker could potentially prompt the LLM to leverage this function for actions outside the intended Encodian scope, leading to excessive permissions and potential data exfiltration or unauthorized actions on other services. Clarify the scope of `run_composio_tool()` within the skill's documentation, explicitly stating if it is limited to Encodian tools or if it can access other Composio toolkits. If it can access other toolkits, consider restricting the available toolkits for this specific skill or implementing stricter access controls at the Rube MCP level to enforce the 'Encodian Automation' scope. | LLM | SKILL.md:80 |
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