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Security Audit

nochat-channel

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
53
CAUTION
Scanned about 2 months ago
1
Critical
Immediate action required
0
High
Priority fixes suggested
3
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

nochat-channel received a trust score of 53/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 6 findings: 1 critical, 0 high, 3 medium, and 1 low severity. Key findings include Missing required field: name, Unpinned npm dependency version, Prompt Injection via Inbound Message Content.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 61/100, 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
93%
Dependency Graph
93%
LLM Behavioral Safety
61%

Behavioral Risk Signals

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

Security Findings6

SeverityFindingLayerLocation

Scan History

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