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Security Audit

moltbook

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
49
CRITICAL
Scanned 2 months ago
1
Critical
Immediate action required
0
High
Priority fixes suggested
3
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

moltbook received a trust score of 49/100, 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, 0 high, 3 medium, and 0 low severity. Key findings include Potential hardcoded secret (high entropy), Sensitive environment variable access: $HOME, Shell Command Injection via Unescaped User Input in JSON Payload.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on February 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
79%
Dependency Graph
100%
LLM Behavioral Safety
70%

Behavioral Risk Signals

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

Security Findings4

SeverityFindingLayerLocation

Scan History

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