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Security Audit

agentchat

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
23
CRITICAL
Scanned about 2 months ago
1
Critical
Immediate action required
1
High
Priority fixes suggested
6
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

agentchat received a trust score of 23/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 9 findings: 1 critical, 1 high, 6 medium, and 1 low severity. Key findings include Unsafe deserialization / dynamic eval, Unpinned npm dependency version, Excessive Bash Permissions with Wildcard Arguments.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 53/100, indicating areas for improvement.

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
65%
Static Code Analysis
100%
Dependency Graph
93%
LLM Behavioral Safety
53%

Behavioral Risk Signals

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

Security Findings9

SeverityFindingLayerLocation

Scan History

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