The Agent Skills Directory

[PROMPT_INJECTION]: The skill instructions and triggers in SKILL.md and HOW_TO_USE.md follow standard task-oriented patterns for ASO analysis. No instructions to bypass safety filters or override agent behavior were found.
[DATA_EXFILTRATION]: All Python modules in the scripts/ directory process input data locally and return structured results to the agent. No network operations (such as requests, urllib, or socket) or attempts to access sensitive system files (like SSH keys or environment variables) were detected.
[REMOTE_CODE_EXECUTION]: The skill does not perform any remote code execution. All scripts rely exclusively on Python's standard library (math, re, collections, datetime, time, typing). No usage of eval(), exec(), or subprocess calls to external binaries was found.
[EXTERNAL_DOWNLOADS]: The skill does not download external scripts or packages. The README.md explicitly states that no external packages are required.
[PRIVILEGE_ESCALATION]: There are no commands or script logic that attempt to acquire elevated privileges, such as sudo usage, service installation, or file permission modifications.
[PERSISTENCE_MECHANISMS]: No logic was found that attempts to establish persistence, such as modifying shell profiles, cron jobs, or system startup scripts.
[OBFUSCATION]: The skill's code and documentation are written in clear, human-readable text. No Base64 encoding, hex escaping, or hidden Unicode characters were identified.
[INDIRECT_PROMPT_INJECTION]: While the skill processes untrusted external data such as app reviews and descriptions (e.g., in review_analyzer.py and keyword_analyzer.py), it lacks dangerous capabilities (no network access, no file system writes, no command execution) that could be exploited via injection. Data is used solely for frequency analysis and sentiment scoring.

app-store-optimization