Skip to main content

Security Audit

clawcamera

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 3 months ago
7
Critical
Immediate action required
5
High
Priority fixes suggested
6
Medium
Best practices review
2
Low
Acknowledged / Tracked

Trust Assessment

clawcamera 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 21 findings: 7 critical, 5 high, 6 medium, and 2 low severity. Key findings include Network egress to untrusted endpoints, Arbitrary command execution, Missing required field: name.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on February 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
12%
Dependency Graph
91%
LLM Behavioral Safety
76%

Behavioral Risk Signals

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

Security Findings21

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/124954e5e2fb0fcb.svg)](https://skillshield.io/report/124954e5e2fb0fcb)
SkillShield Badge

Powered by SkillShield