app-store-optimisation-codex

Pass

Audited by Gen Agent Trust Hub on Jul 7, 2026

Risk Level: SAFE
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill fetches app metadata from the Apple iTunes Search API at itunes.apple.com. This is a well-known, official service used for retrieving public application information and does not pose a security risk.
  • [COMMAND_EXECUTION]: The provided Python scripts (e.g., aso_scorer.py, keyword_analyzer.py) perform local data processing, statistical calculations, and text analysis using standard libraries. They do not utilize dangerous functions like eval(), exec(), or subprocess to run arbitrary system commands.
  • [DATA_EXFILTRATION]: No access to sensitive local files, credentials, or environment variables was identified. Network activity is strictly limited to retrieving public data from trusted app store domains.
  • [PROMPT_INJECTION]: The skill instructions and browsing templates in scraper.py are well-structured for their intended purpose. They do not contain instructions to bypass AI safety filters, extract system prompts, or override agent constraints.
  • [INDIRECT_PROMPT_INJECTION]: While the skill ingests untrusted data from the web (app reviews and descriptions), the processing is handled via Python-based regex and frequency analysis rather than direct interpolation into agent prompts, which significantly reduces the risk of malicious instruction execution from external content.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 7, 2026, 09:26 AM
Security Audit — agent-trust-hub — app-store-optimisation-codex