Laporan audit skill

vllm-model-tutorial Laporan audit.

Generate comprehensive Chinese technical tutorial documents for specific vLLM models (e.g., Qwen3-VL, DeepSeek-V3, Llama 4, InternVL3, etc.). Produces deep-dive model walkthrough documents with Mermaid architecture diagrams, comparison tables, input preprocessing flows, forward pass analysis, ViT computation (for VLMs), vLLM code implementation analysis, and technical principle explanations (MoE, MLA, Gated Attention, ViT, DiT, etc.). Output is saved as Markdown to the skill's outputs/ directory. TRIGGER when: user asks to learn about a specific vLLM model (e.g., "我想了解 vllm 中的 Qwen3-VL", "帮我生成 Qwen3-VL 的模型教程", "generate a model tutorial for InternVL3 in vllm", "vllm 中的 DeepSeek-V3 是怎么实现的", "写一个 Llama 4 的vllm教程"). DO NOT TRIGGER when: user asks about non-vLLM models, general LLM questions without requesting a tutorial, or asks about vLLM features/modules rather than specific models.

Diblokir · BlokirPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
72
Audit
68
Kepercayaan
54
Kualitas
71
Keamanan
100
Maintain
92
Pasang

Trust Score OpenAgentSkill

68
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Gagal

30

20 star GitHub

Aktivitas star/fork

Gagal

32

20 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

100

5 hari sejak push

Kejelasan lisensi

Lulus

86

Apache-2.0

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Peringatan

54

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add shen-shanshan/vllm-dev-skills --skill vllm-model-tutorial

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

36

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

https://github.com/shen-shanshan/vllm-dev-skills/tree/master/skills/vllm-model-tutorial

Status peninjauan

Peringatan

46

Persetujuan tinjauan AI belum ada

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

6 Lulus · 16 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add shen-shanshan/vllm-dev-skills --skill vllm-model-tutorial

Repositori

88

Lulus

https://github.com/shen-shanshan/vllm-dev-skills/tree/master/skills/vllm-model-tutorial

Lisensi

86

Lulus

Apache-2.0

Pemeliharaan

100

Lulus

5 hari sejak push

Tinjauan AI

55

Periksa

Review approval is missing

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

54

Perbaiki

command execution surface, credential or environment access

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

36

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

32

Perbaiki

20 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

42

Periksa

20 star GitHub

Peringatan

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Low GitHub adoption signal
  • Persetujuan tinjauan AI belum ada
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 20 GitHub stars
  • Stars/forks activity: 20 stars, 3 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • Review status: AI review approval is missing

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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