Skill audit report
SenseNova Skills audit report.
Modular SenseNova skills for building AI-powered office assistants and productivity workflows
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
4.4K GitHub stars
Recent maintenance
PASS100
4d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add OpenSenseNova/SenseNova-Skills
Repository evidence
PASS86
https://github.com/OpenSenseNova/SenseNova-Skills
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add OpenSenseNova/SenseNova-Skills
Repository
88
https://github.com/OpenSenseNova/SenseNova-Skills
License
86
MIT
Maintenance
100
4d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
4.4K GitHub stars
Warnings
No major warnings detected from available metadata.
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.
Compare nearby options
Related skills to audit next
Grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
74K stars · Audit report
Superset
Apache Superset is a Data Visualization and Data Exploration Platform
73K stars · Audit report
Scikit Learn
scikit-learn: machine learning in Python
66K stars · Audit report