Skip to main content

Security Audit

mac-node-snapshot

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
68
CAUTION
Scanned 3 months ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

mac-node-snapshot received a trust score of 68/100, 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 Potential Command Injection via `openclaw nodes screen record --node` argument, Skill requires highly sensitive Screen Recording permissions, Reliance on unpinned system binaries (`openclaw`, `ffmpeg`).

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 63/100, indicating areas for improvement.

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
100%
Dependency Graph
100%
LLM Behavioral Safety
63%

Behavioral Risk Signals

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

Security Findings3

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/ec4dea6ecb8a0553.svg)](https://skillshield.io/report/ec4dea6ecb8a0553)
SkillShield Badge

Powered by SkillShield