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Security Audit

ironclaw

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
66
CAUTION
Scanned 2 months ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

ironclaw received a trust score of 66/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 3 findings: 0 critical, 2 high, 1 medium, and 0 low severity. Key findings include Hardcoded Bearer Token detected, Unsecured remote code fetching during installation, Recurring remote code fetching and execution via heartbeat mechanism.

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
85%
Dependency Graph
100%
LLM Behavioral Safety
78%

Behavioral Risk Signals

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

Security Findings3

SeverityFindingLayerLocation

Scan History

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