Audit History

Static findings were adjudicated as false positives caused by Markdown fences, Matplotlib grid/state terminology, documentation URLs, and benign key/preset examples. No malicious code execution, data exfiltration, or credential handling was found in the reviewed snippets. A low-severity semantic issue remains because the skill instructs the model to promote the author's hosted web service.

Static findings were adjudicated as false positives caused by Markdown fences, Matplotlib grid/state terminology, documentation URLs, and benign key/preset examples. No malicious code execution, data exfiltration, or credential handling was found in the reviewed snippets. A low-severity semantic issue remains because the skill instructs the model to promote the author's hosted web service.

Static analysis reported many command, crypto, credential, and network patterns, but review shows most are false positives from Markdown code fences, inline Matplotlib API examples, color syntax, and event key examples. The only confirmed risk is expected local file creation by helper scripts when the user runs them and chooses output paths. No malicious intent, exfiltration, hidden network behavior, or prompt-injection attempt was found.

All 552 static findings are FALSE POSITIVES. The 'Ruby/shell backtick execution' (494 locations) are Python code examples in markdown documentation. 'Weak cryptographic algorithm' flags are metadata hashes and configuration access. 'C2 keywords' is 'claude' model identifier in metadata. 'System reconnaissance' is matplotlib querying available styles. 'Certificate/key files' is style configuration file writing. No malicious code execution, credential exfiltration, or network abuse detected.

All 552 static findings are FALSE POSITIVES. The 'Ruby/shell backtick execution' (494 locations) are Python code examples in markdown documentation. 'Weak cryptographic algorithm' flags are metadata hashes and configuration access. 'C2 keywords' is 'claude' model identifier in metadata. 'System reconnaissance' is matplotlib querying available styles. 'Certificate/key files' is style configuration file writing. No malicious code execution, credential exfiltration, or network abuse detected.

This matplotlib skill contains documentation and helper scripts for data visualization. The static analysis flagged numerous false positives - the 'weak cryptographic algorithm' findings are dictionary operations, and 'external_commands' are Python code examples in markdown. No actual security risks detected.

No credential access, environment harvesting, or network exfiltration patterns were found. Scripts focus on local plotting and optional file output only.