Skill audit report
Agently audit report.
[GenAI Application Development Framework] 馃殌 Build GenAI application quick and easy 馃挰 Easy to interact with GenAI agent in code using structure data and chained-calls syntax 馃З Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic 馃攢 Switch to any model without rewrite application code
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
1.6K GitHub stars
Recent maintenance
PASS100
1d since push
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 AgentEra/Agently
Repository evidence
PASS86
https://github.com/AgentEra/Agently
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add AgentEra/Agently
Repository
88
https://github.com/AgentEra/Agently
License
86
Apache-2.0
Maintenance
100
1d 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
1.6K 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.
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