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Security Audit

denario-skill

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 2 months ago
6
Critical
Immediate action required
6
High
Priority fixes suggested
3
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

denario-skill 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 16 findings: 6 critical, 6 high, 3 medium, and 1 low severity. Key findings include Unsafe environment variable passthrough, Credential harvesting, Missing required field: name.

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 February 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
79%
Dependency Graph
98%
LLM Behavioral Safety
55%

Behavioral Risk Signals

Filesystem Write
1 finding
Shell Execution
3 findings
Excessive Permissions
8 findings

Security Findings16

SeverityFindingLayerLocation

Scan History

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