78
TRUSTED0
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked
Trust Assessment
This report is partially verified. Deterministic layers ran, but LLM behavioral analysis (L4) was not executed for this scan.
The current score of 78/100 is provisional and may change after a full L4 verification run.
Last analyzed on February 11, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Manifest Analysis
85%Static Code Analysis
93%Dependency Graph
100%LLM Behavioral SafetyNot run
—Behavioral Risk Signals
Network Access
2 findings
Excessive Permissions
1 finding
Security Findings2
| Severity | Finding | Layer | Location | |
|---|---|---|---|---|
| HIGH | Network egress to untrusted endpoints HTTP request to raw IP address Review all outbound network calls. Remove connections to webhook collectors, paste sites, and raw IP addresses. Legitimate API calls should use well-known service domains. | Manifest | skills/oakencore/skillvet/tests/fixtures/trigger-ioc-blocklist/malware.py:2 | |
| MEDIUM | Suspicious import: requests Import of 'requests' detected. This module provides network or low-level system access. Verify this import is necessary. Network and system modules in skill code may indicate data exfiltration. | Static | skills/oakencore/skillvet/tests/fixtures/trigger-ioc-blocklist/malware.py:1 |