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Security Audit

xlsx

github.com/anthropics/skills
AI SkillCommit 1ed29a03dc85
10
CRITICAL
Scanned 8 days ago
10
Critical
Immediate action required
10
High
Priority fixes suggested
3
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

xlsx 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 23 findings: 10 critical, 10 high, 3 medium, and 0 low severity. Key findings include Unsafe environment variable passthrough, Arbitrary command execution, Credential harvesting.

The analysis covered 4 layers: manifest_analysis, llm_behavioral_safety, static_code_analysis, dependency_graph. The manifest_analysis layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on February 12, 2026 (commit 1ed29a03). 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
48%

Behavioral Risk Signals

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

Security Findings23

SeverityFindingLayerLocation

Scan History

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