fix(vec_db): format debug log message for empty batch insert

astrbot/core/db/vec_db/faiss_impl/vec_db.py

@@ -75,7 +75,9 @@ class FaissVecDB(BaseVecDB):
         ids = ids or [str(uuid.uuid4()) for _ in contents]
 
         if not contents:
-            logger.debug("No contents provided for batch insert; skipping embedding generation.")
+            logger.debug(
+                "No contents provided for batch insert; skipping embedding generation."
+            )
             return []
 
         start = time.time()

astrbot/core/skills/skill_manager.py

@@ -6,6 +6,7 @@ import re
 import shlex
 import shutil
 import tempfile
+import uuid
 import zipfile
 from dataclasses import dataclass
 from datetime import datetime, timezone
@@ -58,6 +59,29 @@ def _is_ignored_zip_entry(name: str) -> bool:
     return parts[0] == "__MACOSX"
 
 
+def _normalize_skill_markdown_path(skill_dir: Path) -> Path | None:
+    """Return the canonical `SKILL.md` path for a skill directory.
+
+    If only legacy `skill.md` exists, it is renamed to `SKILL.md` in-place.
+    """
+    canonical = skill_dir / "SKILL.md"
+    entries = set()
+    if skill_dir.exists():
+        entries = {entry.name for entry in skill_dir.iterdir()}
+    if "SKILL.md" in entries:
+        return canonical
+    legacy = skill_dir / "skill.md"
+    if "skill.md" not in entries:
+        return None
+    try:
+        tmp = skill_dir / f".{uuid.uuid4().hex}.tmp_skill_md"
+        legacy.rename(tmp)
+        tmp.rename(canonical)
+    except OSError:
+        return legacy
+    return canonical
+
+
 @dataclass
 class SkillInfo:
     name: str
@@ -363,8 +387,8 @@ class SkillManager:
             if not entry.is_dir():
                 continue
             skill_name = entry.name
-            skill_md = entry / "SKILL.md"
-            if not skill_md.exists():
+            skill_md = _normalize_skill_markdown_path(entry)
+            if skill_md is None:
                 continue
             active = skill_configs.get(skill_name, {}).get("active", True)
             if skill_name not in skill_configs:
@@ -445,7 +469,7 @@ class SkillManager:
 
     def is_sandbox_only_skill(self, name: str) -> bool:
         skill_dir = Path(self.skills_root) / name
-        skill_md_exists = (skill_dir / "SKILL.md").exists()
+        skill_md_exists = _normalize_skill_markdown_path(skill_dir) is not None
         if skill_md_exists:
             return False
         cache = self._load_sandbox_skills_cache()
@@ -559,6 +583,7 @@ class SkillManager:
                         continue
                     zf.extract(member, tmp_dir)
                 src_dir = Path(tmp_dir) / skill_name
+                _normalize_skill_markdown_path(src_dir)
                 if not src_dir.exists():
                     raise ValueError("Skill folder not found after extraction.")
                 dest_dir = Path(self.skills_root) / skill_name