Skill audit report
Daft audit report.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
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
PASS94
5.6K GitHub stars
Recent maintenance
PASS100
Pushed today
License clarity
PASS86
Apache-2.0
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 Eventual-Inc/Daft
Repository evidence
PASS86
https://github.com/Eventual-Inc/Daft
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add Eventual-Inc/Daft
Repository
88
https://github.com/Eventual-Inc/Daft
License
86
Apache-2.0
Maintenance
100
Pushed today
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
5.6K 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
Tensorflow
An Open Source Machine Learning Framework for Everyone
196K stars 路 Audit report
Transformers
馃 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
162K stars 路 Audit report
Pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
101K stars 路 Audit report