Skip to main content

Security Audit

research-assistant

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

Trust Assessment

research-assistant 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 6 findings: 2 critical, 1 high, 2 medium, and 1 low severity. Key findings include Persistence / self-modification instructions, Missing required field: name, Persistence mechanism: Shell RC file modification.

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
86%
Dependency Graph
100%
LLM Behavioral Safety
83%

Behavioral Risk Signals

Filesystem Write
5 findings
Shell Execution
4 findings
Excessive Permissions
1 finding

Security Findings6

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/6b509f052955d1f8.svg)](https://skillshield.io/report/6b509f052955d1f8)
SkillShield Badge

Powered by SkillShield