Audit History

Static analysis produced many high-severity alerts, but contextual review found them to be documentation examples, normal installation instructions, benign scoring code, or non-secret environment detection. No prompt-injection text, malicious intent, credential exfiltration, or unsafe command execution was found in the reviewed evidence.

Static analysis produced many high-severity alerts, but contextual review found them to be documentation examples, normal installation instructions, benign scoring code, or non-secret environment detection. No prompt-injection text, malicious intent, credential exfiltration, or unsafe command execution was found in the reviewed evidence.

No prompt injection or malicious intent was found in the reviewed files. Most static findings are false positives from dictionary keys, markdown fences, installation examples, API placeholders, and technology-evaluation wording. One medium-risk behavior remains because report_generator.py can export a report to an unconstrained caller-supplied filename.

No prompt injection or malicious intent was found in the reviewed files. Most static findings are false positives from dictionary keys, markdown fences, installation examples, API placeholders, and technology-evaluation wording. One medium-risk behavior remains because report_generator.py can export a report to an unconstrained caller-supplied filename.

The static analyzer reported a critical heuristic, but review found no command execution, network client usage, secret harvesting, obfuscation, or prompt injection attempt. Most high and medium matches are false positives from markdown examples, security terminology, URL parsing, and technology evaluation vocabulary. Residual risk is low because the skill contains Python scripts, checks one non-secret environment variable, and can write a report to a caller-provided filename.

All 219 static findings are false positives. The scanner detected benign documentation patterns including security terminology, code block formatting, and technology names. No actual code execution, network requests, or credential access exists. Uses Python standard library only.

All 219 static findings are false positives. The scanner detected benign documentation patterns including security terminology, code block formatting, and technology names. No actual code execution, network requests, or credential access exists. Uses Python standard library only.

All 190 static findings are false positives. The skill is a legitimate technology evaluation tool. Flags were triggered by security/compliance documentation keywords, bash command examples in markdown, and URL references - not malicious code patterns.