nanobot: 2026-09-14 21:16:00 — usage: models only in Models section, not inline

skills/usage/SKILL.md

@@ -22,18 +22,20 @@ never scrape the website.
 
 ## Output
 
-Format (script prints it, present it to the user as-is):
+Format (script prints it, present it to the user as-is — same lines, same
+order; translate the labels to Czech, keep the numbers exact; no extra
+model info on the Session/Weekly lines):
 
 ```
 Ollama Cloud usage
-Session: <pct> %, resets in X hours — <model> (<req count>), …
+Session: <pct> %, resets in X hours
-Weekly:  <pct> %, resets in Y days — <model> (<req count>), …
+Weekly:  <pct> %, resets in Y days
 Models (request count, weekly window):
   <model>: <count>
 ```
 
-Present the script output to the user in Czech (translate the labels, keep
+The per-model breakdown lives only in the "Models" section — never inline
-the numbers exact).
+on the Session/Weekly lines.
 
 ## Reset times — derived, not from the API
 

skills/usage/scripts/ollama_usage.py

@@ -28,12 +28,6 @@ def load_api_key() -> str:
     sys.exit("OLLAMA_API_KEY not found (neither env nor workspace/.env)")
 
 
-def fmt_models(models: list[dict]) -> str:
-    if not models:
-        return ""
-    return ", ".join(f'{m["name"]} ({m["request_count"]})' for m in models)
-
-
 def until_next_full_hour(now: datetime) -> timedelta:
     nxt = (now.replace(minute=0, second=0, microsecond=0)
            + timedelta(hours=1))
@@ -77,17 +71,13 @@ def main() -> None:
     now = datetime.now(timezone.utc)
 
     print("Ollama Cloud usage")
-    s_models = fmt_models(session.get("models", []))
     print(
         f'Session: {session.get("usage", 0) * 100:.1f} %, '
         f'resets in {fmt_delta_short(until_next_full_hour(now))}'
-        + (f" — {s_models}" if s_models else "")
     )
-    w_models = fmt_models(weekly.get("models", []))
     print(
         f'Weekly:  {weekly.get("usage", 0) * 100:.1f} %, '
         f'resets in {fmt_delta_short(until_next_monday(now))}'
-        + (f" — {w_models}" if w_models else "")
     )
 
     models = weekly.get("models", [])