Trust Assessment
ios-simulator received a trust score of 93/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 1 medium, and 0 low severity. Key findings include Missing required field: name, Broad System Tool Access Required.
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 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Behavioral Risk Signals
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Missing required field: name The 'name' field is required for claude_code skills but is missing from frontmatter. Add a 'name' field to the SKILL.md frontmatter. | Static | skills/tristanmanchester/ios-simulator/SKILL.md:1 | |
| INFO | Broad System Tool Access Required The skill is designed to automate iOS simulators and requires broad access to system tools like `xcrun simctl` and `idb`. This grants the skill extensive control over the simulated environment, including creating/deleting simulators, installing/managing applications, and manipulating simulator state (e.g., clipboard, privacy settings). While necessary for its intended functionality, this level of access implies a high-privilege execution context on the host macOS system. The skill explicitly categorizes commands by safety tiers (SAFE, CAUTION, DANGEROUS) and requires explicit confirmation (`--yes`) for destructive actions, indicating awareness of these capabilities. No direct remediation is required as this is inherent to the skill's purpose. Users should be aware of the capabilities and ensure the skill is run in a trusted environment with appropriate access controls. | LLM | SKILL.md:1 |
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