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Security Audit

sundial-org/awesome-openclaw-skills:skills/antigravity-quota

github.com/sundial-org/awesome-openclaw-skills
AI SkillCommit 6d998e005da6
40
CRITICAL
Scanned 27 days ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

sundial-org/awesome-openclaw-skills:skills/antigravity-quota received a trust score of 40/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 3 findings: 0 critical, 2 high, 0 medium, and 0 low severity. Key findings include Unsafe deserialization / dynamic eval, Base64 encoded credentials.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on March 3, 2026 (commit 6d998e00). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
70%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Filesystem Write
1 finding
Dynamic Code
2 findings

Security Findings3

SeverityFindingLayerLocation

Scan History

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