skills/dokhacgiakhoa/antigravity-ide/application-performance-performance-optimization/Gen Agent Trust Hub
application-performance-performance-optimization
Pass
Audited by Gen Agent Trust Hub on Feb 21, 2026
Risk Level: SAFEPROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [PROMPT_INJECTION] (LOW): The skill is susceptible to Indirect Prompt Injection (Category 8) due to the unsafe interpolation of user-controlled data into subagent prompts.
- Ingestion points: User input via the
$ARGUMENTSvariable is used across all sub-skill files (e.g.,1-comprehensive-performance-profiling.md,11-performance-regression-testing.md). - Boundary markers: Absent. The prompts do not use delimiters or explicit instructions for the subagent to ignore commands embedded within the input data.
- Capability inventory: The subagents targeted by these prompts have significant capabilities, including modifying CI/CD pipelines (
sub-skills/11), deploying edge functions (sub-skills/8), and altering database configurations (sub-skills/4). - Sanitization: Absent. No evidence of escaping or validation of the
$ARGUMENTSstring before it enters the subagent's context. - [COMMAND_EXECUTION] (SAFE): The skill orchestrates high-privilege operations including infrastructure changes and automation updates.
- Evidence:
sub-skills/11-performance-regression-testing.mdinstructs the subagent to "integrate with CI/CD pipeline using GitHub Actions". - Context: While these actions carry inherent risk, they are essential to the skill's primary purpose of "application performance optimization" and are documented in the workflow.
Audit Metadata