Trust Assessment
alpha received a trust score of 87/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 2 medium, and 0 low severity. Key findings include Suspicious import: urllib.request, Unpinned Dependency in Installation Instructions.
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 Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| MEDIUM | Suspicious import: urllib.request Import of 'urllib.request' 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/alphafactor/alpha/scripts/alpha.py:13 | |
| MEDIUM | Unpinned Dependency in Installation Instructions The installation instructions in SKILL.md recommend installing 'websocket-client' without specifying a version. This practice can lead to supply chain vulnerabilities if a future version of the dependency introduces malicious code or critical bugs. Users might unknowingly install a compromised or unstable version. Pin the dependency to a specific, known-good version (e.g., `websocket-client==1.x.x`) in the installation instructions or provide a `requirements.txt` file with pinned versions. Regularly review and update dependency versions. | LLM | SKILL.md:48 |
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