Skill audit report
Otimiza a performance de código frontend Fluig (manipulação de DOM, eventos, requisições e carga de dados) preservando o comportamento, a internacionalização e a compatibilidade com a plataforma. Use quando o desenvolvedor relatar lentidão, travamentos, reflows excessivos ou muitas requisições em um widget/Custom Element e pedir para otimizar um trecho ou arquivo.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
32 GitHub stars
Stars/forks activity
WARN48
32 stars, 10 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
external package install surface, network or browser surface
Install availability
PASS92
npx skills add totvs/fluig-agent-skills --skill fluig-optimize-performance
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO72
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/totvs/fluig-agent-skills/tree/main/skills/fluig-optimize-performance
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add totvs/fluig-agent-skills --skill fluig-optimize-performance
Repository
88
https://github.com/totvs/fluig-agent-skills/tree/main/skills/fluig-optimize-performance
License
86
MIT
Maintenance
88
1mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
external package install surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
72
filesystem or document access, network or browser access
Stars/forks activity
48
32 stars, 10 forks; issue activity unavailable in current metadata
Adoption
42
32 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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