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Security Audit

ckanner/agent-skills:jta

github.com/ckanner/agent-skills
AI SkillCommit 650567abbd9a
11
CRITICAL
Scanned about 1 month ago
2
Critical
Immediate action required
1
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

ckanner/agent-skills:jta received a trust score of 11/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 5 findings: 2 critical, 1 high, 2 medium, and 0 low severity. Key findings include Sensitive environment variable access: $ANTHROPIC_API_KEY, Sensitive environment variable access: $OPENAI_API_KEY, Unpinned external binary download with `sudo` installation.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 26/100, indicating areas for improvement.

Last analyzed on February 28, 2026 (commit 650567ab). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
26%
Dependency Graph
100%
LLM Behavioral Safety
85%

Behavioral Risk Signals

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

Security Findings5

SeverityFindingLayerLocation

Scan History

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