openweather-api-automation

Trust Assessment

openweather-api-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 found no security findings for this skill, indicating clean results across all evaluated layers.

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

Manifest Analysis Validates SKILL.md schema, permissions declarations, and tool configurations
100%
Static Code Analysis Scans source code for dangerous patterns, injection risks, and unsafe operations
100%
Dependency Graph Checks dependencies for known vulnerabilities and supply chain risks
100%
LLM Behavioral Safety AI-powered semantic analysis of tool behavior and data flow patterns
100%

Security Findings

No findings detected. This skill appears clean.

Scan History

Score Trend 2 months ago: 85
2 months ago: 85
2 months ago: 85
2 months ago: 85
85 Latest: No change
Commit: 27904475d1v0.1.06 layers
2 months ago: 85
Commit: 27904475d1v0.1.05 layers
2 months ago: 85
Baseline: 27904475d1v0.1.05 layers
2 months ago:

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