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Security Audit

abstract-onboard

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 2 months ago
2
Critical
Immediate action required
18
High
Priority fixes suggested
7
Medium
Best practices review
2
Low
Acknowledged / Tracked

Trust Assessment

abstract-onboard 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 29 findings: 2 critical, 18 high, 7 medium, and 2 low severity. Key findings include File read + network send exfiltration, Unsafe deserialization / dynamic eval, Unpinned npm dependency version.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety 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
18%
Static Code Analysis
100%
Dependency Graph
91%
LLM Behavioral Safety
0%

Behavioral Risk Signals

Network Access
3 findings
Filesystem Write
7 findings
Shell Execution
20 findings
Dynamic Code
5 findings
Excessive Permissions
17 findings

Security Findings29

SeverityFindingLayerLocation

Scan History

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