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Security Audit

audio-transcriber

github.com/sickn33/antigravity-awesome-skills
AI SkillCommit e36d6fd3b3f6
0
CRITICAL
Scanned about 2 months ago
6
Critical
Immediate action required
6
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

audio-transcriber received a trust score of 0/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 12 findings: 6 critical, 6 high, 0 medium, and 0 low severity. Key findings include Arbitrary command execution, Dangerous call: subprocess.run().

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on February 20, 2026 (commit e36d6fd3). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
10%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Shell Execution
12 findings

Security Findings12

SeverityFindingLayerLocation

Scan History

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