SkillOpt v0.1.0: initial release

- Skill optimization framework with training loop analogy
- 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen)
- WebUI for browser-based training control
- Pluggable architecture for extending benchmarks and backends

skillopt/envs/sealqa/tool_runtime.py

@@ -0,0 +1,30 @@
+from __future__ import annotations
+
+import html
+import re
+from urllib.request import Request, urlopen
+
+DEFAULT_USER_AGENT = (
+    'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 '
+    '(KHTML, like Gecko) Chrome/135.0 Safari/537.36'
+)
+_MAX_FETCH_CHARS = 6000
+
+
+def _strip_html(raw_html: str) -> str:
+    cleaned = re.sub(r'(?is)<script.*?>.*?</script>', ' ', raw_html)
+    cleaned = re.sub(r'(?is)<style.*?>.*?</style>', ' ', cleaned)
+    cleaned = re.sub(r'(?is)<[^>]+>', ' ', cleaned)
+    cleaned = html.unescape(cleaned)
+    return re.sub(r'\s+', ' ', cleaned).strip()
+
+
+def web_fetch(url: str, max_chars: int = _MAX_FETCH_CHARS) -> str:
+    req = Request(url, headers={'User-Agent': DEFAULT_USER_AGENT})
+    with urlopen(req, timeout=20) as response:
+        body = response.read().decode('utf-8', errors='ignore')
+    text = _strip_html(body)
+    if len(text) > max_chars:
+        omitted = len(text) - max_chars
+        text = text[:max_chars] + f"\n\n[... {omitted} characters omitted ...]"
+    return f"URL: {url}\n\n{text}"