Skip to main content

Security Audit

safe-exec

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned about 2 months ago
1
Critical
Immediate action required
0
High
Priority fixes suggested
11
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

safe-exec 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: 1 critical, 0 high, 11 medium, and 0 low severity. Key findings include Sensitive environment variable access: $HOME, Sensitive environment variable access: $USER, Sensitive environment variable access: $GITHUB_USER.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 30/100, 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
100%
Static Code Analysis
30%
Dependency Graph
100%
LLM Behavioral Safety
63%

Behavioral Risk Signals

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

Security Findings12

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/c36c687ce1526c89.svg)](https://skillshield.io/report/c36c687ce1526c89)
SkillShield Badge

Powered by SkillShield