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Security Audit

qwen3-tts-instruct

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
74
CAUTION
Scanned 2 months ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

qwen3-tts-instruct received a trust score of 74/100, 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: 0 critical, 1 high, 2 medium, and 0 low severity. Key findings include Unpinned Python Dependencies, Arbitrary File Read via --input-file, Arbitrary File Write via --output.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on February 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
71%

Behavioral Risk Signals

Filesystem Write
3 findings
Shell Execution
2 findings
Excessive Permissions
2 findings

Security Findings3

SeverityFindingLayerLocation

Scan History

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