Security Audit
azure-monitor-ingestion-py
github.com/sickn33/antigravity-awesome-skillsTrust Assessment
azure-monitor-ingestion-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
Behavioral Risk Signals
Security Findings1
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| LOW | Unpinned Python Dependencies The `pip install` commands in the installation instructions do not specify exact versions for the `azure-monitor-ingestion` and `azure-identity` packages. This can lead to non-deterministic builds, where future installations might pull in different versions of dependencies, potentially introducing breaking changes, unexpected behavior, or security vulnerabilities that were not present in the original tested version. It also makes it harder to reproduce the exact environment. Pin dependencies to specific versions (e.g., `pip install azure-monitor-ingestion==X.Y.Z`) or use a `requirements.txt` file with pinned versions to ensure consistent and reproducible installations. Regularly review and update pinned versions to incorporate security fixes. | LLM | SKILL.md:10 |
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