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Security Audit

prompt-performance-tester

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 2 months ago
3
Critical
Immediate action required
3
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

prompt-performance-tester 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 7 findings: 3 critical, 3 high, 1 medium, and 0 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 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Excessive Permissions
3 findings

Security Findings7

SeverityFindingLayerLocation

Scan History

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