application-performance-performance-optimization

Pass

Audited by Gen Agent Trust Hub on Aug 4, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill follows established performance engineering workflows and uses well-known industry tools such as DataDog, New Relic, Prometheus, k6, and GitHub Actions for legitimate optimization and monitoring purposes.
  • [PROMPT_INJECTION]: The skill defines a surface for indirect prompt injection by passing user-supplied input to sub-agents with broad system capabilities. 1. Ingestion points: The $ARGUMENTS variable is interpolated into prompts for sub-agents in all phases within SKILL.md. 2. Boundary markers: No explicit delimiters are present to separate system instructions from user-provided content. 3. Capability inventory: Sub-agents are tasked with high-impact operations including database index creation, backend code modification, CDN/Edge configuration changes, and CI/CD pipeline updates. 4. Sanitization: No input validation or filtering is performed on $ARGUMENTS before processing.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 4, 2026, 04:24 PM
Security Audit — agent-trust-hub — application-performance-performance-optimization