Security Audit
timely-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
timely-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 Access via Rube MCP.
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 Access via Rube MCP The skill exposes `RUBE_MANAGE_CONNECTIONS` and `RUBE_MULTI_EXECUTE_TOOL`, granting broad control over external service connections and the execution of arbitrary tools discovered through `RUBE_SEARCH_TOOLS`. `RUBE_MANAGE_CONNECTIONS` allows managing connections for any toolkit, potentially enabling an attacker to disconnect legitimate services or connect to malicious ones. `RUBE_MULTI_EXECUTE_TOOL` can execute any tool returned by `RUBE_SEARCH_TOOLS`, which could be manipulated via prompt injection to perform unintended or malicious operations. This broad access poses a significant risk if the agent is subjected to prompt injection. Implement stricter access controls or fine-grained permissions for the `RUBE_MANAGE_CONNECTIONS` and `RUBE_MULTI_EXECUTE_TOOL` tools. Consider requiring explicit user confirmation for sensitive operations (e.g., disconnecting connections, executing tools outside a predefined scope). Limit the scope of `RUBE_SEARCH_TOOLS` or `RUBE_MULTI_EXECUTE_TOOL` to only allow execution of a predefined, allow-listed set of tools relevant to 'Timely automation' rather than arbitrary tools. | LLM | SKILL.md:35 |
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