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Security Audit

clawback

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned about 2 months ago
29
Critical
Immediate action required
70
High
Priority fixes suggested
41
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

clawback 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 141 findings: 29 critical, 70 high, 41 medium, and 1 low severity. Key findings include Persistence / self-modification instructions, Arbitrary command execution, Unsafe deserialization / dynamic eval.

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
0%
Dependency Graph
0%
LLM Behavioral Safety
68%

Behavioral Risk Signals

Network Access
13 findings
Filesystem Write
2 findings
Shell Execution
87 findings
Dynamic Code
60 findings
Excessive Permissions
7 findings

Security Findings141

SeverityFindingLayerLocation

Scan History

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