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Security Audit

stitch-loop

github.com/google-labs-code/stitch-skills
AI SkillCommit 51d6d5ab56b9
34
CRITICAL
Scanned 2 days ago
1
Critical
Immediate action required
2
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

stitch-loop received a trust score of 34/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 4 findings: 1 critical, 2 high, 1 medium, and 0 low severity. Key findings include Dangerous tool allowed: Bash, Path Traversal via Unsanitized Page Name in File Operations, Prompt Injection into Stitch Generation Tool.

The analysis covered 4 layers: dependency_graph, manifest_analysis, llm_behavioral_safety, static_code_analysis. The static_code_analysis layer scored lowest at 48/100, indicating areas for improvement.

Last analyzed on February 18, 2026 (commit 51d6d5ab). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
48%
Dependency Graph
100%
LLM Behavioral Safety
85%

Behavioral Risk Signals

Filesystem Write
2 findings
Shell Execution
2 findings
Dynamic Code
1 finding
Excessive Permissions
2 findings

Security Findings4

SeverityFindingLayerLocation

Scan History

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