Skip to main content

Security Audit

clawcast

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 2 months ago
4
Critical
Immediate action required
0
High
Priority fixes suggested
6
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

clawcast 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 11 findings: 4 critical, 0 high, 6 medium, and 1 low severity. Key findings include Persistence / self-modification instructions, Arbitrary command execution, Sensitive environment variable access: $HOME.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis 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
40%
Static Code Analysis
42%
Dependency Graph
100%
LLM Behavioral Safety
54%

Behavioral Risk Signals

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

Security Findings11

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/9aa46b175276e429.svg)](https://skillshield.io/report/9aa46b175276e429)
SkillShield Badge

Powered by SkillShield