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.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopsi GitHub
Gagal30
20 star GitHub
Aktivitas star/fork
Gagal32
20 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus100
5 hari sejak push
Kejelasan lisensi
Lulus86
Apache-2.0
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Peringatan54
command execution surface, credential or environment access
Ketersediaan pemasangan
Lulus92
npx skills add shen-shanshan/vllm-dev-skills --skill vllm-model-tutorial
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Gagal36
secrets or environment access, shell or command execution
Bukti repositori
Lulus86
https://github.com/shen-shanshan/vllm-dev-skills/tree/master/skills/vllm-model-tutorial
Status peninjauan
Peringatan46
Persetujuan tinjauan AI belum ada
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add shen-shanshan/vllm-dev-skills --skill vllm-model-tutorial
Repositori
88
https://github.com/shen-shanshan/vllm-dev-skills/tree/master/skills/vllm-model-tutorial
Lisensi
86
Apache-2.0
Pemeliharaan
100
5 hari sejak push
Tinjauan AI
55
Review approval is missing
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
54
command execution surface, credential or environment access
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
36
secrets or environment access, shell or command execution
Aktivitas star/fork
32
20 star dan 3 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
42
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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