Skip to main content

Security Audit

clawdiocomms

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 2 months ago
3
Critical
Immediate action required
1
High
Priority fixes suggested
3
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

clawdiocomms received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 9 findings: 3 critical, 1 high, 3 medium, and 1 low severity. Key findings include Arbitrary command execution, Missing required field: name, Unpinned npm dependency version.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 10/100, 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
10%
Static Code Analysis
93%
Dependency Graph
91%
LLM Behavioral Safety
78%

Behavioral Risk Signals

Filesystem Write
2 findings
Shell Execution
4 findings
Dynamic Code
3 findings

Security Findings9

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/2cdbcdea6efc857e.svg)](https://skillshield.io/report/2cdbcdea6efc857e)
SkillShield Badge

Powered by SkillShield