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ai-scout

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AI Scout mini
=============
WHAT THIS IS
A small desktop window: type what you are hunting for (AI skills,
generators, pipelines, prompt collections), press Search, and it asks
the Hugging Face Hub for models, Spaces and datasets that match.
Select rows -> Save selected, and each one lands in
%USERPROFILE%\AI-Skills\<kind>\<name>\ with a skill.json and a
HOWTO.txt containing a copy-paste snippet for that item.
HOW TO RUN
1. Python 3 must be installed (python.org, tick 'Add python.exe to PATH').
Check in PowerShell: py --version
2. Double-click 'Start AI Scout.bat'
or in a terminal: py ai_scout.py
3. No pip install needed - standard library only.
NOTES
- Needs internet access (it calls the public Hugging Face API).
- Double-click a result to open it in your browser.
- Nothing is installed or executed automatically; you only get files.
@echo off
cd /d "%~dp0"
py ai_scout.py
if errorlevel 1 pause
#!/usr/bin/env python3
"""AI Scout mini - type what you are hunting for, get real AI skills back,
and save the good ones into a local library folder you can browse.
Standard library only. Run: py ai_scout.py
"""
import json
import os
import platform
import re
import subprocess
import threading
import urllib.parse
import urllib.request
from pathlib import Path
import tkinter as tk
from tkinter import ttk
LIB = Path.home() / "AI-Skills"
UA = {"User-Agent": "ai-scout-mini/1.0"}
API = {
"model": "https://huggingface.co/api/models",
"space": "https://huggingface.co/api/spaces",
"dataset": "https://huggingface.co/api/datasets",
}
STOP = {"the", "and", "with", "for", "from", "that", "this", "are", "you",
"want", "find", "looking", "some", "most", "all", "best", "example",
"examples", "etc", "about", "into", "using", "use", "how", "what",
"which", "me", "my", "give", "show", "get", "need"}
def http_json(base, params):
url = base + "?" + urllib.parse.urlencode(params)
req = urllib.request.Request(url, headers=UA)
with urllib.request.urlopen(req, timeout=25) as resp:
return json.loads(resp.read().decode("utf-8", "replace"))
def plan(text):
words = [w for w in re.findall(r"[a-z0-9\-]{3,}", text.lower()) if w not in STOP]
out = []
if len(words) >= 2:
out.append(" ".join(words[:2]))
if len(words) >= 3:
out.append(" ".join(words[:3]))
out += words[:3]
return list(dict.fromkeys(out))[:4] or ["llm"]
def search(query, per=10):
rows = []
for kind, base in API.items():
sort = "likes" if kind == "space" else "downloads"
try:
data = http_json(base, {"search": query, "limit": per,
"sort": sort, "direction": -1})
except Exception:
try:
data = http_json(base, {"search": query, "limit": per})
except Exception:
continue
for r in data or []:
rid = r.get("id") or ""
if not rid:
continue
if kind == "space":
url = f"https://huggingface.co/spaces/{rid}"
elif kind == "dataset":
url = f"https://huggingface.co/datasets/{rid}"
else:
url = f"https://huggingface.co/{rid}"
rows.append({"id": rid, "kind": kind, "url": url,