Skip to main content

Security Audit

moltscope

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
35
CRITICAL
Scanned 2 months ago
1
Critical
Immediate action required
2
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

moltscope received a trust score of 35/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 4 findings: 1 critical, 2 high, 1 medium, and 0 low severity. Key findings include Hardcoded Bearer Token detected, Skill instructs agent to reveal private key to external service, Unpinned dependency and lack of integrity checks for skill files.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 63/100, 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
100%
Static Code Analysis
70%
Dependency Graph
100%
LLM Behavioral Safety
63%

Behavioral Risk Signals

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

Security Findings4

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/6f131cb6762b833b.svg)](https://skillshield.io/report/6f131cb6762b833b)
SkillShield Badge

Powered by SkillShield