Caveat verdict
memory-optimization
parallel-tfidf-search-memory-optimization
88
🟢 Trusted
No high-risk patterns surfaced by the deep scan — automated capability review, not behavioral proof.
The skill is designed to optimize Python code for reduced memory usage and improved memory efficiency. It uses file reading capabilities for its legitimate purpose, which is to analyze and transform code.
⚠ Flagged for review — coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.
Automated static analysis — not a human review. Caveat flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.
93
security
70
transparency
70
maintenance
Permission integrity
Performs file operations but does not declare file-accessing binaries
file_read
Permissions & capabilities
No declared permissions — minimal attack surface.
file_read Is this flag fair?
Thanks — recorded.