Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Huggingface Trends
Monitor and fetch trending models from Hugging Face with support for filtering by task, library, and popularity metrics. Use when users want to check trending AI models, compare model popularity, or explore popular models by task or library. Supports export to JSON and formatted output.
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Monitor and fetch trending models from Hugging Face with support for filtering by task, library, and popularity metrics. Use when users want to check trending AI models, compare model popularity, or explore popular models by task or library. Supports export to JSON and formatted output.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/hf_trends.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
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New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- tianxingleo
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Quick Start
Fetch the top trending models: scripts/hf_trends.py -n 10 -p http://172.28.96.1:10808
Fetch Trending Models
Basic usage: # Get top 10 trending models scripts/hf_trends.py -n 10 -p http://172.28.96.1:10808 # Get top 5 most liked models scripts/hf_trends.py -n 5 -s likes -p http://172.28.96.1:10808 # Get most downloaded models scripts/hf_trends.py -n 10 -s downloads -p http://172.28.96.1:10808
Filter by Task
Filter models by specific AI tasks: # Text generation models scripts/hf_trends.py -n 10 -t text-generation -p http://172.28.96.1:10808 # Image classification models scripts/hf_trends.py -n 10 -t image-classification -p http://172.28.96.1:10808 # Translation models scripts/hf_trends.py -n 10 -t translation -p http://172.28.96.1:10808 Common task filters: text-generation - Large language models image-classification - Vision models image-to-text - Multimodal models translation - Machine translation summarization - Text summarization question-answering - QA models
Filter by Library
Filter by ML framework: # PyTorch models only scripts/hf_trends.py -n 10 -l pytorch -p http://172.28.96.1:10808 # TensorFlow models only scripts/hf_trends.py -n 10 -l tensorflow -p http://172.28.96.1:10808 # JAX models scripts/hf_trends.py -n 10 -l jax -p http://172.28.96.1:10808
Export to JSON
Save results for further analysis: # Export to JSON file scripts/hf_trends.py -n 10 -j trending_models.json -p http://172.28.96.1:10808 # Export with specific filters scripts/hf_trends.py -n 20 -t text-generation -j text_models.json -p http://172.28.96.1:10808
Proxy Configuration
The script requires an HTTP proxy to access Hugging Face API (network restrictions). Use the -p flag: scripts/hf_trends.py -p http://172.28.96.1:10808 For most WSL2 environments with v2rayN: Proxy URL: http://172.28.96.1:10808 Or use dynamic IP: http://$(ip route show | grep default | awk '{print $3}'):10808
Command-Line Options
FlagLong FormDescriptionDefault-n--limitNumber of models to fetch10-s--sortSort by: trending, likes, downloads, createdtrending-t--taskFilter by task/pipelineNone-l--libraryFilter by library (pytorch, tensorflow, jax)None-j--jsonExport results to JSON fileNone-p--proxyProxy URL for HTTP requestsNone
Output Format
The script displays models in a structured format: π€ Hugging Face ηι¨ζ¨‘ε (5 δΈͺ) ============================================================ 1. moonshotai/Kimi-K2.5 β 2.0K likes π₯ 647.6K downloads π Task: image-text-to-text π Library: transformers π Created: 2026-01-01 Updated: N/A ...
Model Information
Each model entry includes: Model ID: Full Hugging Face model name Likes: Number of likes (popularity metric) Downloads: Total download count Task: Primary task/pipeline (e.g., text-generation) Library: ML framework (transformers, pytorch, tensorflow) Created/Updated: Date information
Daily Monitoring
Check trending models daily for new releases: # Create cron job for daily monitoring 0 9 * * * cd /home/ltx/.openclaw/workspace && \ /home/ltx/.openclaw/workspace/skills/huggingface-trends/scripts/hf_trends.py \ -n 20 -p http://172.28.96.1:10808 >> /tmp/hf-trends.log 2>&1
Task-Specific Research
Explore popular models for specific AI tasks: # Research trending text generation models scripts/hf_trends.py -n 15 -t text-generation -s likes -p http://172.28.96.1:10808 # Find popular image-to-text models scripts/hf_trends.py -n 15 -t image-to-text -s downloads -p http://172.28.96.1:10808
Framework-Specific Analysis
Compare models by ML framework: # Compare PyTorch vs TensorFlow popularity scripts/hf_trends.py -n 20 -l pytorch -j pytorch_models.json -p http://172.28.96.1:10808 scripts/hf_trends.py -n 20 -l tensorflow -j tensorflow_models.json -p http://172.28.96.1:10808
Integration with OpenClaw
Use within OpenClaw sessions: # Fetch trending models programmatically from skills.huggingface-trends.scripts import hf_trends fetcher = hf_trends.HuggingFaceTrends(proxy="http://172.28.96.1:10808") models = fetcher.fetch_trending_models(limit=10) # Format for display output = fetcher.format_models(models) print(output)
Network Errors
Problem: "Network is unreachable" or connection errors Solution: Ensure proxy is specified with -p flag: scripts/hf_trends.py -p http://172.28.96.1:10808 Check if v2rayN proxy is running on Windows.
Empty Results
Problem: "No models found" Solution: Try different filters or increase limit: scripts/hf_trends.py -n 50 -p http://172.28.96.1:10808
Dependencies Missing
Problem: "requests package not installed" Solution: Install required dependencies: pip install requests
Technical Notes
API Limitation: Hugging Face's public API doesn't provide a dedicated trending endpoint without authentication. The script fetches recent models and sorts by popularity metrics. Proxy Requirement: Due to network restrictions, all requests must go through a proxy. The script supports HTTP proxy configuration. Rate Limits: The public API has rate limits. Avoid making too many requests in quick succession. Data Freshness: Models are fetched from the Hugging Face API. Recent changes may take time to reflect.
Reference
See Hugging Face API Documentation for more details on model metadata and available filters.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/hf_trends.py