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Security Audit

sports-ticker

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
24
CRITICAL
Scanned 3 months ago
1
Critical
Immediate action required
2
High
Priority fixes suggested
2
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

sports-ticker received a trust score of 24/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 6 findings: 1 critical, 2 high, 2 medium, and 1 low severity. Key findings include Arbitrary command execution, Unsafe deserialization / dynamic eval, Suspicious import: urllib.request.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 63/100, indicating areas for improvement.

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
63%
Static Code Analysis
78%
Dependency Graph
98%
LLM Behavioral Safety
85%

Behavioral Risk Signals

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

Security Findings6

SeverityFindingLayerLocation

Scan History

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