Laporan audit skill

multi-agent-image Laporan audit.

Standalone multi-agent image generation skill for Hermes. Includes an internal design compiler, GPT-Image-2 generation via apimart.ai, case library reuse, interactive reference selection, batch workflows, and style-consistent series generation.

Diblokir · BlokirPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
73
Audit
64
Kepercayaan
71
Kualitas
70
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

64
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Info

76

568 star GitHub

Aktivitas star/fork

Info

71

568 star dan 94 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

1 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

Gagal

36

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add kangarooking/kangarooking-skills --skill multi-agent-image

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

22

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

https://github.com/kangarooking/kangarooking-skills/tree/main/multi-agent-image

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

7 Lulus · 13 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add kangarooking/kangarooking-skills --skill multi-agent-image

Repositori

88

Lulus

https://github.com/kangarooking/kangarooking-skills/tree/main/multi-agent-image

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

The skill sends OPENAI_API_KEY to apimart.ai, a third-party endpoint; this should be clearly documented and users should use a dedicated/restricted key.

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

22

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

71

Periksa

568 star dan 94 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

568 star GitHub

Peringatan

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The skill sends OPENAI_API_KEY to apimart.ai, a third-party endpoint; this should be clearly documented and users should use a dedicated/restricted key.
  • Several reference agent files (prompt_engineer.md, qa_bot.md) still describe Stable Diffusion-era parameters such as negative prompt, cfg_scale, and sampler, which are not aligned with the current GPT-Image-2 pipeline.
  • SKILL.md does not document error handling, retry/timeout behavior, or failure modes for the external generation API.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • 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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