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Security Audit

analyzing-time-series

github.com/https-deeplearning-ai/sc-agent-skills-files
AI SkillCommit d3e7b4f6ec5d
70
CAUTION
Scanned 9 days ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

analyzing-time-series received a trust score of 70/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 2 findings: 0 critical, 2 high, 0 medium, and 0 low severity. Key findings include Arbitrary File Read from Input Path, Path Traversal in `--output-dir` Argument.

The analysis covered 4 layers: llm_behavioral_safety, manifest_analysis, static_code_analysis, dependency_graph. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on February 11, 2026 (commit d3e7b4f6). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

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

Behavioral Risk Signals

Filesystem Write
2 findings
Shell Execution
1 finding

Security Findings2

SeverityFindingLayerLocation

Scan History

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