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Security Audit

sundial-org/awesome-openclaw-skills:skills/agent-registry

github.com/sundial-org/awesome-openclaw-skills
AI SkillCommit 6d998e005da6
0
CRITICAL
Scanned 27 days ago
5
Critical
Immediate action required
4
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

sundial-org/awesome-openclaw-skills:skills/agent-registry received a trust score of 0/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 11 findings: 5 critical, 4 high, 2 medium, and 0 low severity. Key findings include File read + network send exfiltration, Sensitive path access: AI agent config, Sensitive environment variable access: $HOME.

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

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
26%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Network Access
5 findings
Filesystem Write
9 findings
Shell Execution
5 findings
Excessive Permissions
10 findings

Security Findings11

SeverityFindingLayerLocation

Scan History

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