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Security Audit

agentledger

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
76
TRUSTED
Scanned about 1 month ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

agentledger received a trust score of 76/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 3 findings: 0 critical, 1 high, 1 medium, and 1 low severity. Key findings include Unsafe deserialization / dynamic eval, Node lockfile missing, Arbitrary File Read via importPrivacyTransactions.

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 February 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
93%
Static Code Analysis
100%
Dependency Graph
98%
LLM Behavioral Safety
85%

Behavioral Risk Signals

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

Security Findings3

SeverityFindingLayerLocation

Scan History

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