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Security Audit

canvas-design

github.com/anthropics/skills
AI SkillCommit 1ed29a03dc85
88
TRUSTED
Scanned 9 days ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

canvas-design received a trust score of 88/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 2 medium, and 0 low severity. Key findings include Direct filesystem directory access, Unrestricted external resource download.

The analysis covered 4 layers: dependency_graph, manifest_analysis, llm_behavioral_safety, static_code_analysis. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on February 11, 2026 (commit 1ed29a03). 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
86%

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
2 findings
Shell Execution
1 finding
Excessive Permissions
2 findings

Security Findings2

SeverityFindingLayerLocation

Scan History

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