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Security Audit

gandi

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned about 2 months ago
0
Critical
Immediate action required
10
High
Priority fixes suggested
9
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

gandi 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 20 findings: 0 critical, 10 high, 9 medium, and 1 low severity. Key findings include Unsafe deserialization / dynamic eval, Hidden network beacons / undisclosed telemetry, Node lockfile missing.

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 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
100%
Dependency Graph
98%
LLM Behavioral Safety
40%

Behavioral Risk Signals

Network Access
6 findings
Filesystem Write
5 findings
Shell Execution
13 findings
Dynamic Code
11 findings
Excessive Permissions
2 findings

Security Findings20

SeverityFindingLayerLocation

Scan History

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