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Security Audit

sundial-org/awesome-openclaw-skills:skills/agent-browser-2

github.com/sundial-org/awesome-openclaw-skills
AI SkillCommit 6d998e005da6
42
CRITICAL
Scanned 27 days ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
2
Low
Acknowledged / Tracked

Trust Assessment

sundial-org/awesome-openclaw-skills:skills/agent-browser-2 received a trust score of 42/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 4 findings: 0 critical, 1 high, 1 medium, and 2 low severity. Key findings include Excessive Permissions: Arbitrary Filesystem Access via State Management, Supply Chain Risk: Unpinned Dependency for CLI Tool, Data Exfiltration Capability: Access to Sensitive Browser Data.

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
100%
Static Code Analysis
74%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

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

Security Findings4

SeverityFindingLayerLocation

Scan History

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