Trust Assessment
intellectia-stock-forecast received a trust score of 94/100, 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 Unpinned Python dependency 'requests'.
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 | Unpinned Python dependency 'requests' The skill's manifest specifies 'requests' as a pip dependency without a version constraint. This can lead to unexpected behavior, compatibility issues, or even security vulnerabilities if a future version of the package introduces breaking changes or malicious code. It's best practice to pin dependencies to a specific version or a version range. Pin the 'requests' dependency to a specific version (e.g., "requests==2.28.1") or a version range (e.g., "requests>=2.28.1,<3.0.0") in the skill's manifest. | LLM | Manifest |
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