Security Audit
sevdesk-automation
github.com/ComposioHQ/awesome-claude-skillsTrust Assessment
sevdesk-automation received a trust score of 100/100, 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, 0 medium, and 0 low severity. Key findings include Broad access to external API operations.
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 | |
|---|---|---|---|---|
| INFO | Broad access to external API operations The skill instructs the agent to use `RUBE_SEARCH_TOOLS` to dynamically discover all available Sevdesk operations and subsequently `RUBE_MULTI_EXECUTE_TOOL` to execute them. This grants the agent broad, dynamic access to the full range of functionalities exposed by the Sevdesk API via the Rube MCP. While this is the intended purpose of an automation skill, it means the agent can perform any action permitted by the connected Sevdesk account, which could include sensitive operations like creating/deleting invoices, managing clients, or accessing financial data. Users should be aware of the extensive capabilities granted to the agent when enabling this skill. Ensure that the Sevdesk account connected to Rube MCP adheres to the principle of least privilege, granting only the necessary permissions for the intended automation tasks. Implement robust monitoring and auditing of agent actions. If possible, consider adding more granular control or user confirmation steps for highly sensitive operations, if the underlying Rube tools or platform support such features. | LLM | SKILL.md:60 |
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