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Security Audit

openai-whisper-api

github.com/openclaw/openclaw
AI SkillCommit b62bd290cb4e
58
CAUTION
Scanned 2 months ago
2
Critical
Immediate action required
0
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

openai-whisper-api received a trust score of 58/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 3 findings: 2 critical, 0 high, 1 medium, and 0 low severity. Key findings include Sensitive environment variable access: $OPENAI_API_KEY, Command Injection via unvalidated argument assignment, Command Injection in `mkdir` path construction.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 40/100, indicating areas for improvement.

Last analyzed on February 18, 2026 (commit b62bd290). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
40%

Behavioral Risk Signals

Filesystem Write
2 findings
Shell Execution
3 findings
Dynamic Code
2 findings
Excessive Permissions
1 finding

Security Findings3

SeverityFindingLayerLocation

Scan History

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