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Security Audit

credex-protocol

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
58
CAUTION
Scanned 2 months ago
1
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

credex-protocol received a trust score of 58/100, 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: 1 critical, 1 high, 1 medium, and 0 low severity. Key findings include Unpinned npm dependency version, Untrusted content attempts to manipulate host LLM instructions, Skill can exfiltrate agent's public wallet address and transaction data to arbitrary URL.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 55/100, 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
100%
Dependency Graph
93%
LLM Behavioral Safety
55%

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
3 findings
Shell Execution
1 finding
Dynamic Code
1 finding

Security Findings4

SeverityFindingLayerLocation

Scan History

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