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Security Audit

bililidownloader

github.com/openclaw/skills
AI SkillCommit 9c1b8e80763e
10
CRITICAL
Scanned 3 months ago
5
Critical
Immediate action required
5
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

bililidownloader 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 12 findings: 5 critical, 5 high, 2 medium, and 0 low severity. Key findings include Arbitrary command execution, Dangerous call: subprocess.run(), Unpinned Python dependency version.

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 12, 2026 (commit 9c1b8e80). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
25%
Dependency Graph
93%
LLM Behavioral Safety
93%

Behavioral Risk Signals

Shell Execution
10 findings

Security Findings12

SeverityFindingLayerLocation

Scan History

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