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Security Audit

perplexity

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
67
CAUTION
Scanned about 1 month ago
1
Critical
Immediate action required
0
High
Priority fixes suggested
0
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

perplexity received a trust score of 67/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 2 findings: 1 critical, 0 high, 0 medium, and 1 low severity. Key findings include Remote code execution: curl/wget pipe to shell, Node lockfile missing.

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 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
70%
Dependency Graph
98%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
1 finding
Shell Execution
1 finding

Security Findings2

SeverityFindingLayerLocation

Scan History

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