Trust Assessment
vamzi/alpaca-skill:root received a trust score of 85/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.
SkillShield's automated analysis identified 1 finding: 0 critical, 0 high, 0 medium, and 1 low severity. Key findings include Unpinned Dependency in Skill Code.
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 May 1, 2026 (commit 1a160338). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| LOW | Unpinned Dependency in Skill Code The skill's `alpaca_cli.py` script imports `alpaca-py` without specifying a version. This can lead to supply chain risks where future updates to the `alpaca-py` library might introduce breaking changes, vulnerabilities, or unexpected behavior. Best practice is to pin dependencies to specific versions or version ranges. Specify exact versions or version ranges for all third-party dependencies (e.g., `alpaca-py==x.y.z` or `alpaca-py>=x.y,<x.z`) in a `requirements.txt` file or similar dependency management system. Ensure the skill's environment is built using these pinned dependencies. | Static | scripts/alpaca_cli.py:20 |
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