Star200+

Laporan audit skill

ai-assist-design-creator Laporan audit.

Reverse-engineer a website's visual design system from a URL and produce a fully spec-compliant DESIGN.md file (https://github.com/google-labs-code/design.md). The output includes both machine-readable YAML design tokens (colors, typography, spacing, rounded corners, components) and human-readable markdown rationale sections (Overview, Colors, Typography, Layout, Elevation & Depth, Shapes, Components, Do's and Don'ts). Use this skill whenever the user wants to generate a DESIGN.md, create a design system file from a website, capture a site's visual identity, extract design tokens, build a design spec from a URL, clone a site's look and feel, or scaffold a DESIGN.md from scratch. Also triggers on: 'design system from URL', 'generate DESIGN.md', 'extract colors from site', 'what are this site's design tokens', 'capture design from website'.

Diblokir · BlokirPerlu ditinjauDihasilkan 24 Agu 2026Audit metadata heuristik
69
Audit
59
Kepercayaan
61
Kualitas
62
Keamanan
100
Maintain
92
Pasang

Trust Score OpenAgentSkill

59
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Peringatan

48

88 star GitHub

Aktivitas star/fork

Peringatan

48

88 star dan 12 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

100

1 hari sejak push

Kejelasan lisensi

Peringatan

42

Tidak diketahui

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Gagal

36

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add jparkerweb/ai-assist-skills --skill ai-assist-design-creator

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

18

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

https://github.com/jparkerweb/ai-assist-skills/tree/main/skills/ai-assist-design-creator

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

5 Lulus · 17 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add jparkerweb/ai-assist-skills --skill ai-assist-design-creator

Repositori

88

Lulus

https://github.com/jparkerweb/ai-assist-skills/tree/main/skills/ai-assist-design-creator

Lisensi

45

Periksa

Tidak diketahui

Pemeliharaan

100

Lulus

1 hari sejak push

Tinjauan AI

55

Periksa

Repository license is listed as 'Unknown' by GitHub; consider adding an explicit license to clarify usage rights.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

36

Perbaiki

command execution surface, credential or environment access

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

18

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

48

Perbaiki

88 star dan 12 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

88 star GitHub

Peringatan

  • Lisensi tidak jelas
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Repository license is listed as 'Unknown' by GitHub; consider adding an explicit license to clarify usage rights.
  • Skill does not explicitly address error handling for failed fetches or inaccessible URLs, which could cause the agent to stall or produce incomplete output.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 88 GitHub stars
  • Stars/forks activity: 88 stars, 12 forks; issue activity unavailable in current metadata
  • License clarity: Unknown
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

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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