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Security Audit

increment

github.com/anton-abyzov/specweave
AI SkillCommit 1823c3f6cf4d
65
CAUTION
Scanned 5 days ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
3
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

increment received a trust score of 65/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 5 findings: 0 critical, 1 high, 3 medium, and 1 low severity. Key findings include Missing required field: name, Sensitive environment variable access: $HOME, Potential Command Injection via unsanitized arguments in shell commands.

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 15, 2026 (commit 1823c3f6). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
86%
Dependency Graph
100%
LLM Behavioral Safety
76%

Behavioral Risk Signals

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

Security Findings5

SeverityFindingLayerLocation

Scan History

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