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Security Audit

sev-attestation

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
67
CAUTION
Scanned 3 months ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
2
Medium
Best practices review
3
Low
Acknowledged / Tracked

Trust Assessment

sev-attestation received a trust score of 67/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 6 findings: 0 critical, 1 high, 2 medium, and 3 low severity. Key findings include Covert behavior / concealment directives, Skill requires root access to /dev/sev-guest, Untrusted report file can lead to SSRF or data exfiltration.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

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
94%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
71%

Behavioral Risk Signals

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

Security Findings6

SeverityFindingLayerLocation

Scan History

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