Skip to main content

Security Audit

audit-case-rag

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned about 2 months ago
3
Critical
Immediate action required
1
High
Priority fixes suggested
8
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

audit-case-rag received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 12 findings: 3 critical, 1 high, 8 medium, and 0 low severity. Key findings include Arbitrary command execution, Dangerous call: subprocess.run(), Unpinned Python dependency version.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 40/100, indicating areas for improvement.

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
70%
Static Code Analysis
85%
Dependency Graph
44%
LLM Behavioral Safety
40%

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
2 findings
Shell Execution
4 findings

Security Findings12

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/d3653e8561c7b80b.svg)](https://skillshield.io/report/d3653e8561c7b80b)
SkillShield Badge

Powered by SkillShield