Audit History

Most static findings are false positives caused by LaTeX paths, Markdown code fences, or business research terms. The Python subprocess call uses list arguments and no shell interpolation. Separate semantic issues remain for embedded safe-audit claims and external service promotion.

Most static findings are false positives caused by LaTeX paths, Markdown code fences, or business research terms. The Python subprocess call uses list arguments and no shell interpolation. Separate semantic issues remain for embedded safe-audit claims and external service promotion.

Static analysis reported many critical and high patterns, but most are false positives from LaTeX syntax, Markdown examples, and market sizing terms. The confirmed concern is operational: the visual generation helper invokes local Python tools and writes to a user-supplied output directory, so publication should include a filesystem warning.

All 527 static findings are FALSE POSITIVES. The scanner misinterpreted business terminology (SAM=Serviceable Addressable Market), LaTeX commands as cryptographic algorithms, markdown code blocks as shell commands, and standard file paths as path traversal. The only subprocess.run call uses hardcoded arguments to invoke sibling skills with no injection risk.

All 527 static findings are FALSE POSITIVES. The scanner misinterpreted business terminology (SAM=Serviceable Addressable Market), LaTeX commands as cryptographic algorithms, markdown code blocks as shell commands, and standard file paths as path traversal. The only subprocess.run call uses hardcoded arguments to invoke sibling skills with no injection risk.

AI analysis failed after multiple attempts - MANUAL REVIEW REQUIRED before publishing. This skill cannot be auto-published until reviewed by a human.

Simple script-based visual generator with no data exfiltration or persistence capabilities. Subprocess usage is limited to invoking local generator scripts.