Güvenlik uyarılı skill

Bu skill destructive command içerebilir. Skill detaylarını ve kaynak içeriği incelemeden kurulum yapmayın, kopyalamayın, indirmeyin veya çalıştırmayın. Bilinçli ve kontrollü şekilde kullanın.

Tarayıcı bulguları

highscript_injection

View source repo ↗

Hf Cli

huggingface/mlclaw/assets/hf-tooling/skills/hf-cli

Hugging Face· v1.0.0

researchResmi

Resmi Sağlayıcı Skill'iView repo

Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. Use when: handling authentication; managing local cache; managing Hugging Face Buckets; running or scheduling jobs on Hugging Face infrastructure; managing Hugging Face repos; discussions and pull requests; browsing models, datasets and spaces; reading, searching, or browsing academic papers; managing collections; querying datasets; config

Dosyalar1 dosya

SKILL.md219 satır

Loading editor…

Kurulum

Önerilen

Tek komut — ajanınız otomatik olarak devreye alır.

AI aracını seç

Kurulum komutunu görmek için yukarıdan bir AI aracı seçin.

veya

Manuel Kurulum

Daha fazla adım

Dosyayı indirin ve ajanınızın sistem istemine yapıştırın.

Skill detayları

Versiyonv1.0.0

YazarHugging Face

Kategoriresearch

Skill IDhuggingface/mlclaw/assets/hf-tooling/skills/hf-cli

İlgili skill'ler

Hf BrokerUse ML Claw's HF Broker for protected Hugging Face repository and bucket reads, writes, temporary grants, recovery, and revocation. Use instead of asking for or exposing a Hugging Face access token.Hf MemHugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub Huggingface BestUse when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. Triggers on: "best model for X", "what model should I use for", "top models for [task]", "which model runs on my laptop/machine/device", "recommend a model for", "what LLM should I use for", "compare models for", "what's state of the art for", or any question about choosing an AI model for a specific use case. Always use this ski Huggingface DatasetsUse this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.Huggingface GradioBuild Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.Huggingface Local ModelsUse to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.