Skip to main content

Security Audit

tabstack-extractor

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
58
CAUTION
Scanned about 2 months ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
3
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

tabstack-extractor 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 5 findings: 0 critical, 2 high, 3 medium, and 0 low severity. Key findings include Suspicious import: requests, Command Injection in tabstack_curl.sh via URL parameter, Command Injection in tabstack_curl.sh via Schema file content.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 56/100, 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
93%
Dependency Graph
100%
LLM Behavioral Safety
56%

Behavioral Risk Signals

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

Security Findings5

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/66e8faf9bf7302b8.svg)](https://skillshield.io/report/66e8faf9bf7302b8)
SkillShield Badge

Powered by SkillShield