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Security Audit

repo

github.com/machine-machine/openclaw-tts-skill
AI SkillCommit 738a46413a2a
10
CRITICAL
Scanned about 1 month ago
8
Critical
Immediate action required
11
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

repo received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 20 findings: 8 critical, 11 high, 1 medium, and 0 low severity. Key findings include Arbitrary command execution, Missing required field: name, 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 May 1, 2026 (commit 738a4641). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
0%
Dependency Graph
100%
LLM Behavioral Safety
85%

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
1 finding
Shell Execution
16 findings
Dynamic Code
2 findings
Excessive Permissions
1 finding

Security Findings20

SeverityFindingLayerLocation

Scan History

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