The Agent Skills Directory

[PROMPT_INJECTION]: The instructions and markdown documentation do not contain any patterns intended to bypass safety filters, override system prompts, or induce the AI to ignore its guidelines. The language used is purely functional and descriptive of the skill's purpose.
[DATA_EXFILTRATION]: No evidence of unauthorized data access or exfiltration. There are no hardcoded credentials, and the Python scripts do not perform any network requests (requests, urllib, curl, etc.). The only external URLs mentioned are in the documentation as optional research tools, which is a common and safe practice for informational purposes.
[REMOTE_CODE_EXECUTION]: There are no instances of downloading or executing remote code. The skill relies on local Python scripts that utilize standard library functions.
[COMMAND_EXECUTION]: The provided Python code does not use os.system, subprocess, or any other method to execute shell commands or interact with the operating system in a dangerous way.
[OBFUSCATION]: The code is written in clear, readable Python. There is no use of Base64, hex-encoding, zero-width characters, or other techniques to hide malicious logic or URLs.
[INDIRECT_PROMPT_INJECTION]: The review_analyzer.py script processes user reviews, which is a potential entry point for indirect prompt injection. However, since the script only performs text analysis (sentiment, theme extraction) and does not trigger any dangerous actions (like writing files or making API calls based on the content), the risk is negligible. This is considered a standard functional component for this type of tool.
[DYNAMIC_EXECUTION]: There is no use of eval, exec, or dynamic loading from computed paths. All logic is statically defined within the provided scripts.
[PERSISTENCE_MECHANISMS]: The code does not attempt to create persistent processes, modify system configuration files, or schedule tasks.

app-store-optimization