Trust Assessment
focus-deep-work received a trust score of 95/100, 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 Skill describes broad system control capabilities.
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 14, 2026 (commit 13146e6a). 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 | Skill describes broad system control capabilities The skill's description indicates it can perform actions requiring significant system-level permissions, such as blocking/closing applications, managing notifications, dimming screen brightness, enabling do-not-disturb, and blocking website access. While the documentation notes these actions are 'when permissions allow' or 'if permission granted', the scope of intended control is broad and could lead to excessive permissions if not carefully managed by the underlying platform or user. Ensure that the skill's implementation strictly adheres to the principle of least privilege. Implement granular permission requests and clearly communicate the scope of required permissions to the user. Consider sandboxing mechanisms to limit the impact of these broad capabilities. | LLM | SKILL.md:50 |
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