azure-monitor-ingestion-py

Warn

Audited by Socket on Mar 1, 2026

1 alert found:

Anomaly
AnomalyLOW
SKILL.md

The provided skill/documentation is consistent with a legitimate Azure Monitor ingestion SDK: it requests credentials and endpoint configuration appropriate to its purpose, reads logs from user-provided sources (in-memory or files), and sends them directly to Azure ingestion endpoints. There are no signs of malicious behavior, credential harvesting to third-party domains, download-and-execute chains, or obfuscation in the supplied content. The main operational risk is standard: any code using DefaultAzureCredential should follow least-privilege principles because the credential gives access to Azure resources; additionally, silently ignoring errors can hide failures but is not malicious. Overall this appears benign.

Confidence: 85%Severity: 50%
Audit Metadata
Analyzed At
Mar 1, 2026, 05:27 PM
Package URL
pkg:socket/skills-sh/sickn33%2Fantigravity-awesome-skills%2Fazure-monitor-ingestion-py%2F@a7cd35d47c108e2bb0ae1c71e0fa99bf9ce886c8