Skip to main content

Security Audit

ralph-evolver

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 3 months ago
15
Critical
Immediate action required
4
High
Priority fixes suggested
1
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

ralph-evolver 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 21 findings: 15 critical, 4 high, 1 medium, and 1 low severity. Key findings include Arbitrary command execution, Unsafe deserialization / dynamic eval, Unpinned npm dependency version.

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
100%
Dependency Graph
91%
LLM Behavioral Safety
40%

Behavioral Risk Signals

Filesystem Write
3 findings
Shell Execution
19 findings
Dynamic Code
4 findings

Security Findings21

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/f2c34da08785d524.svg)](https://skillshield.io/report/f2c34da08785d524)
SkillShield Badge

Powered by SkillShield