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Security Audit

runpod

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
51
CAUTION
Scanned about 1 month ago
1
Critical
Immediate action required
0
High
Priority fixes suggested
4
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

runpod received a trust score of 51/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 5 findings: 1 critical, 0 high, 4 medium, and 0 low severity. Key findings include Sensitive environment variable access: $HOME, Command Injection via unsanitized POD_ID, Reduced SSH Host Key Security (StrictHostKeyChecking=accept-new).

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 56/100, indicating areas for improvement.

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
86%
Dependency Graph
100%
LLM Behavioral Safety
56%

Behavioral Risk Signals

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

Security Findings5

SeverityFindingLayerLocation

Scan History

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