app-store-optimization

Pass

Audited by Gen Agent Trust Hub on Apr 15, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns or security risks were identified. The skill's logic is transparent and focuses on text analysis and statistical calculations.
  • [EXTERNAL_DOWNLOADS]: No external downloads or remote code execution patterns were found. The skill operates independently of external packages and network resources, adhering to its stated technical requirements of using only the Python standard library.
  • [PROMPT_INJECTION]: The skill instructions and metadata do not contain any patterns attempting to override agent behavior, bypass safety filters, or extract system prompts.
  • [DATA_EXFILTRATION]: No network operations (curl, wget, etc.) or sensitive file access patterns were detected. The Python scripts process data passed to them and return structured results without external transmission.
  • [SAFE]: The skill possesses a surface for indirect prompt injection (Category 8) as it processes untrusted user reviews and competitor data, but lacks dangerous capabilities.
  • Ingestion points: review_analyzer.py, keyword_analyzer.py, and metadata_optimizer.py ingest potentially untrusted strings.
  • Boundary markers: Absent within the logic; processing relies on the agent's context boundaries.
  • Capability inventory: None. The skill scripts do not have access to file-write, network, or command execution tools.
  • Sanitization: Basic regex-based sanitization is applied in extract_keywords_from_text and extract_common_themes to clean input strings.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 15, 2026, 06:09 PM
Security Audit — agent-trust-hub — app-store-optimization