Security Audit
azure-keyvault-py
github.com/sickn33/antigravity-awesome-skillsTrust Assessment
azure-keyvault-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 2 findings: 0 critical, 0 high, 1 medium, and 1 low severity. Key findings include Example code prints sensitive secret value, Unpinned dependencies 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 20, 2026 (commit e36d6fd3). 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 | Example code prints sensitive secret value The provided Python example for retrieving a secret directly prints its value to standard output. In an AI agent context, if this code is executed, the secret could be exposed in logs or agent output, leading to data exfiltration. Advise against printing sensitive values directly in production code. Suggest masking, logging only metadata, or ensuring secure handling of agent output. For documentation, add a warning or replace with a placeholder like `print("Secret retrieved successfully.")`. | LLM | SKILL.md:49 | |
| LOW | Unpinned dependencies in installation instructions The `pip install` commands in the installation section do not specify exact package versions. This can lead to non-deterministic builds, potential compatibility issues, or unintended upgrades to vulnerable versions if a dependency is compromised in the future. While common in documentation, it poses a supply chain risk if used for environment setup. Pin all dependencies to specific versions (e.g., `azure-keyvault-secrets==X.Y.Z`) to ensure reproducible and secure builds. Update the documentation to reflect pinned versions. | LLM | SKILL.md:14 |
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