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Security Audit

erc-8004

github.com/BankrBot/openclaw-skills
AI SkillCommit 66de0a1e3577
50
CAUTION
Scanned 5 days ago
12
Critical
Immediate action required
3
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

erc-8004 received a trust score of 50/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 15 findings: 12 critical, 3 high, 0 medium, and 0 low severity. Key findings include Hidden network beacons / undisclosed telemetry, Command Injection via Node.js `node -e` with unsanitized input, Prompt Injection via `bankr prompt` with unsanitized input.

The analysis covered 4 layers: dependency_graph, manifest_analysis, llm_behavioral_safety, static_code_analysis. The llm_behavioral_safety layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on February 15, 2026 (commit 66de0a1e). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
85%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
0%

Behavioral Risk Signals

Network Access
8 findings
Filesystem Write
8 findings
Shell Execution
9 findings
Dynamic Code
13 findings
Excessive Permissions
1 finding

Security Findings15

SeverityFindingLayerLocation

Scan History

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