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Security Audit

solvr

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
59
CAUTION
Scanned 2 months ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

solvr received a trust score of 59/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 4 findings: 0 critical, 2 high, 2 medium, and 0 low severity. Key findings include Sensitive environment variable access: $HOME, Unencoded user input in URL parameters leading to command injection, Unencoded user input in URL path and parameters leading to command injection.

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 14, 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
70%

Behavioral Risk Signals

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

Security Findings4

SeverityFindingLayerLocation

Scan History

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