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Security Audit

diy-pc-ingest

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
28
CRITICAL
Scanned about 2 months ago
0
Critical
Immediate action required
6
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

diy-pc-ingest received a trust score of 28/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 7 findings: 0 critical, 6 high, 1 medium, and 0 low severity. Key findings include Hidden network beacons / undisclosed telemetry, Suspicious import: urllib.request, Arbitrary file write via environment variable controlled path.

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 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
70%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
40%

Behavioral Risk Signals

Network Access
3 findings
Filesystem Write
4 findings
Shell Execution
3 findings
Dynamic Code
1 finding
Excessive Permissions
3 findings

Security Findings7

SeverityFindingLayerLocation

Scan History

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