Audit History

All 32 static findings are false positives caused by keywords, Markdown backticks, headings, or a database fetch method. A separate high-severity SQL injection risk exists because the PostgreSQL example interpolates metadata keys into a query.

The static findings are false positives caused by search-domain terminology, Markdown backticks, keyword variable names, and asyncpg conn.fetch. A semantic review found one medium-risk issue: the PostgreSQL template builds part of a SQL WHERE clause from unvalidated metadata keys.

Most static findings are false positives caused by search terminology, Markdown backticks, and tutorial headings. I found one high-risk semantic issue: the PostgreSQL example interpolates metadata keys into SQL. No prompt injection text was found in the reviewed files.

Static shell, credential, weak crypto, system reconnaissance, and critical heuristic findings are false positives caused by markdown fences and search-domain terminology. One real concern remains: the PostgreSQL template builds part of a SQL filter with an interpolated metadata key, which could be unsafe if copied into production without validation.

Static analysis flagged 55 patterns but all are false positives. Files are markdown documentation with Python code samples. Backticks are markdown formatting not shell execution. URLs are documentation references not network calls. No cryptographic operations, credential access, or system commands detected. Skill is safe for publication.