Audit History

All 21 static findings are false positives. The external-command detections match Markdown code fences rather than shell execution, and the filesystem detections are fixed local output files used for the documented PDF operations. No prompt injection, data exfiltration, or malicious intent was found in SKILL.md or FORMS.md.

All 21 static findings are false positives caused by ordinary Python file output examples, Markdown code fences, and an error message. The reviewed files contain no shell execution, system reconnaissance, prompt injection, or malicious intent.

The static command findings are Markdown code fences around Python examples, not Ruby or shell execution. The filesystem findings are expected PDF output examples with fixed local filenames, and no prompt injection, network access, credential access, or exfiltration intent was found.

Static analysis reported many command execution patterns, but review found they are Markdown code fences around Python examples, not executable skill code. The weak cryptography alert at SKILL.md line 3 has no supporting evidence. The skill includes local file write examples for expected PDF outputs, so publication is acceptable with normal file overwrite caution.

This skill provides documentation and code examples for PDF processing using Python libraries. The static analyzer detected 46 pattern matches, but all are false positives. The code snippets shown are documentation examples in markdown files demonstrating legitimate PDF manipulation libraries. No external commands, network access, or filesystem risks were found in executable code. The skill contains only educational documentation without executable scripts.

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

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

Pure documentation skill containing PDF processing examples. No executable code, network calls, or sensitive operations. All code samples use standard Python libraries (pdfplumber, pypdf) for their stated purpose of PDF manipulation.