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Security Audit

inference-sh

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
38
CRITICAL
Scanned about 2 months ago
2
Critical
Immediate action required
0
High
Priority fixes suggested
0
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

inference-sh received a trust score of 38/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 3 findings: 2 critical, 0 high, 0 medium, and 1 low severity. Key findings include Arbitrary command execution, Remote code execution: curl/wget pipe to shell, Broad Bash Tool Permission for `infsh`.

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 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
70%
Static Code Analysis
70%
Dependency Graph
100%
LLM Behavioral Safety
98%

Behavioral Risk Signals

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

Security Findings3

SeverityFindingLayerLocation

Scan History

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