Skill audit report
DeepResearchAgent audit report.
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.
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
3.5K GitHub stars
Recent maintenance
PASS88
1mo 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 SkyworkAI/DeepResearchAgent
Repository evidence
PASS86
https://github.com/SkyworkAI/DeepResearchAgent
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add SkyworkAI/DeepResearchAgent
Repository
88
https://github.com/SkyworkAI/DeepResearchAgent
License
86
MIT
Maintenance
88
1mo 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
3.5K 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.
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