app-store-optimization
Pass
Audited by Gen Agent Trust Hub on Mar 16, 2026
Risk Level: SAFE
Full Analysis
- [PROMPT_INJECTION]: No evidence of prompt injection or instructions attempting to bypass safety filters was found. The instructions in SKILL.md and README.md are focused on ASO tasks and provide structured input/output guidelines.
- [DATA_EXFILTRATION]: The skill does not perform any network operations. All Python modules (
keyword_analyzer.py,metadata_optimizer.py, etc.) process data passed to them at runtime without making external requests or accessing sensitive local files like credentials or SSH keys. - [OBFUSCATION]: No obfuscated code, Base64 strings, or hidden Unicode characters were detected. All scripts and markdown files are in plain, human-readable text.
- [REMOTE_CODE_EXECUTION]: The skill does not download or execute remote code. It relies exclusively on the Python standard library as stated in the technical requirements. There are no uses of
eval(),exec(), or subprocess calls with untrusted input. - [COMMAND_EXECUTION]: There is no evidence of arbitrary command execution or shell spawning. The Python modules perform mathematical calculations and string manipulations.
- [PRIVILEGE_ESCALATION]: No commands related to privilege escalation (e.g.,
sudo,chmod) were found. The skill does not attempt to modify system configurations or persistence mechanisms. - [INDIRECT_PROMPT_INJECTION]: While the skill processes user-supplied text (app reviews and metadata), it lacks the capabilities (network, file-write, or shell access) to turn a data-based injection into a system-level threat. The Python modules use regular expressions and standard string cleaning for analysis.
- [DYNAMIC_EXECUTION]: No dynamic code generation or unsafe deserialization (e.g.,
pickle) was found. All logic is static and uses standard data structures.
Audit Metadata