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 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: 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/tariqsumatri82/alpha-1-0-0/scripts/alpha.py:13 | |
| MEDIUM | Unpinned dependency in installation instructions The `SKILL.md` file instructs users to install the `websocket-client` library without specifying a version. This practice can lead to non-deterministic builds, compatibility issues, or the introduction of security vulnerabilities if a future version of the dependency contains a flaw. It is best practice to pin dependencies to specific versions to ensure consistent and secure environments. Pin the `websocket-client` dependency to a specific, known-good version (e.g., `websocket-client==X.Y.Z`) in the installation instructions or provide a `requirements.txt` file with pinned versions. | LLM | SKILL.md:19 |
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