Trust Assessment
google-weather 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 Suspicious import: requests, Unpinned Third-Party Dependency.
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 13, 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 | Suspicious import: requests Import of 'requests' detected. This module provides network or low-level system access. Verify this import is necessary. Network and system modules in skill code may indicate data exfiltration. | Static | skills/shaharsha/google-weather/lib/weather_helper.py:6 | |
| INFO | Unpinned Third-Party Dependency The skill uses the 'requests' library without specifying a version. This can lead to unexpected behavior or security vulnerabilities if a new, incompatible, or malicious version is published and automatically installed. It is best practice to pin dependencies to specific versions to ensure consistent and secure builds. Add a `requirements.txt` file specifying the exact version of `requests` (e.g., `requests==2.28.1`) and ensure it is used for installation. Alternatively, if no `requirements.txt` is desired, consider adding a comment indicating the expected version. | LLM | lib/weather_helper.py:6 |
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