Skill audit report
对时间序列或分类数据进行多维度趋势分析、百分比清洗、绩效分级建模与预测，并生成高分辨率的可视化综合报告，适用于业务指标监控与预测场景。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS94
5.3K GitHub stars
Stars/forks activity
PASS88
5.3K stars, 382 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
9d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
WARN60
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add OpenSenseNova/SenseNova-Skills --skill time-series-and-categorical-analysis
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-da-excel-workflow/capability/excel-data-analysis/time-series-analysis
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add OpenSenseNova/SenseNova-Skills --skill time-series-and-categorical-analysis
Repository
88
https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-da-excel-workflow/capability/excel-data-analysis/time-series-analysis
License
86
MIT
Maintenance
100
9d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
88
5.3K stars, 382 forks; issue activity unavailable in current metadata
Adoption
88
5.3K GitHub stars
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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