Laporan audit skill

vercel-react-best-practices Laporan audit.

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

Eksperimental · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
82
Audit
72
Kepercayaan
90
Kualitas
75
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

72
Shortlist kuat

Trust Score OpenAgentSkill

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

Adopsi GitHub

Lulus

100

51K star GitHub

Aktivitas star/fork

Lulus

97

51K star dan 4.8K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

2 bulan sejak push

Kejelasan lisensi

Lulus

86

MIT

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Info

64

credential or environment access, network or browser surface

Ketersediaan pemasangan

Lulus

92

npx skills add CherryHQ/cherry-studio --skill vercel-react-best-practices

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

34

secrets or environment access, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/vercel-react-best-practices

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

8 Lulus · 9 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add CherryHQ/cherry-studio --skill vercel-react-best-practices

Repositori

88

Lulus

https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/vercel-react-best-practices

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

2 bulan sejak push

Tinjauan AI

55

Periksa

SKILL.md only provides a high-level quick reference with rule names and categories, lacking the detailed explanations, code examples, and workflow steps needed for an agent to correctly apply the guidelines. It is effectively a summary rather than a self-contained skill.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

64

Periksa

credential or environment access, network or browser surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

34

Perbaiki

secrets or environment access, filesystem or document access

Aktivitas star/fork

97

Lulus

51K star dan 4.8K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

51K star GitHub

Peringatan

  • Permission surface may require sandboxing
  • SKILL.md only provides a high-level quick reference with rule names and categories, lacking the detailed explanations, code examples, and workflow steps needed for an agent to correctly apply the guidelines. It is effectively a summary rather than a self-contained skill.
  • Inconsistency in rule count: the description in SKILL.md states 'Contains 62 rules' while AGENTS.md and README mention '40+ rules'. This discrepancy undermines clarity.
  • SKILL.md appears truncated in the provided excerpt (ends mid-sentence), suggesting the file may be incomplete or malformed as the primary skill entry.
  • Permission surface needs review: secrets or environment access, filesystem or document access
  • Permission surface: secrets or environment access, filesystem or document access

Metode

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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