Security Audit

azure-data-tables-py

github.com/sickn33/antigravity-awesome-skills

AI SkillCommit e36d6fd3b3f6

TRUSTED

Scanned 3 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

azure-data-tables-py 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 Python dependencies.

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 20, 2026 (commit e36d6fd3). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

100%

Static Code Analysis

100%

Dependency Graph

100%

LLM Behavioral Safety

98%

Behavioral Risk Signals

Shell Execution

1 finding

Security Findings1

Severity	Finding	Layer	Location
LOW	Unpinned Python dependencies The `pip install` command in the installation instructions does not specify exact versions for `azure-data-tables` and `azure-identity`. This can lead to non-deterministic builds, unexpected behavior, or potential security vulnerabilities if a future version of a dependency introduces breaking changes or malicious code. While these are official packages, pinning versions is a best practice for supply chain security. Pin dependencies to specific versions (e.g., `azure-data-tables==X.Y.Z azure-identity==A.B.C`) or use a `requirements.txt` file with pinned versions for deterministic installations.	LLM	SKILL.md:10

Scan History

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