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Audit History

vector-index-tuning - 4 audits

Audit version 4

Latest Safe

Jan 17, 2026, 08:42 AM

Pure documentation skill with instructional Python templates for vector index tuning. All static findings are false positives: hardcoded URLs are documentation references, weak crypto patterns matched legitimate quantization terminology, backticks are markdown formatting, and memory-mapped references are Qdrant config parameters.

2
Files scanned
723
Lines analyzed
1
findings
claude
Audited by
No security issues found

Risk Factors

🌐 Network access (1)

Audit version 3

Safe

Jan 17, 2026, 08:42 AM

Pure documentation skill with instructional Python templates for vector index tuning. All static findings are false positives: hardcoded URLs are documentation references, weak crypto patterns matched legitimate quantization terminology, backticks are markdown formatting, and memory-mapped references are Qdrant config parameters.

2
Files scanned
723
Lines analyzed
1
findings
claude
Audited by
No security issues found

Risk Factors

🌐 Network access (1)

Audit version 2

Low Risk

Jan 4, 2026, 04:40 PM

Pure documentation skill with instructional Python templates for vector index tuning. Contains Qdrant client examples that make network calls to user-provided database instances - this is expected and legitimate behavior for database tuning content.

4
Files scanned
735
Lines analyzed
2
findings
claude
Audited by
Low Risk Issues (1)
Qdrant client network calls in examples
The Qdrant integration examples import and use QdrantClient which would make network connections to a database. This is legitimate for vector database tuning content. Users provide their own database endpoint.

Risk Factors

🌐 Network access (1)

Audit version 1

Low Risk

Jan 4, 2026, 04:40 PM

Pure documentation skill with instructional Python templates for vector index tuning. Contains Qdrant client examples that make network calls to user-provided database instances - this is expected and legitimate behavior for database tuning content.

4
Files scanned
735
Lines analyzed
2
findings
claude
Audited by
Low Risk Issues (1)
Qdrant client network calls in examples
The Qdrant integration examples import and use QdrantClient which would make network connections to a database. This is legitimate for vector database tuning content. Users provide their own database endpoint.

Risk Factors

🌐 Network access (1)