Trust Assessment
intellectia-stock-screener received a trust score of 97/100, 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, 0 medium, and 1 low severity. Key findings include Unpinned dependency in manifest.
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 | |
|---|---|---|---|---|
| LOW | Unpinned dependency in manifest The 'requests' package is specified as a dependency without a version constraint. This can lead to unexpected behavior or security vulnerabilities if a future version introduces breaking changes or malicious code. It is best practice to pin dependencies to specific versions or version ranges. Pin the 'requests' dependency to a specific version or a version range (e.g., "package": "requests==2.28.1" or "package": "requests>=2.28,<3.0") in the skill's manifest. | LLM | SKILL.md:1 |
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