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Security Audit

scrape

github.com/garrytan/gstack
AI SkillCommit e8893a18b18e
10
CRITICAL
Scanned about 1 month ago
46
Critical
Immediate action required
46
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

scrape 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 94 findings: 46 critical, 46 high, 2 medium, and 0 low severity. Key findings include File read + network send exfiltration, Dangerous tool allowed: Bash, Sensitive environment variable access: $HOME.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on April 29, 2026 (commit e8893a18). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
0%
Dependency Graph
100%
LLM Behavioral Safety
18%

Behavioral Risk Signals

Network Access
45 findings
Filesystem Write
92 findings
Shell Execution
50 findings
Dynamic Code
3 findings
Excessive Permissions
92 findings

Security Findings94

SeverityFindingLayerLocation

Scan History

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