Add log-work-expense skill to skill index

log-work-expense/scripts/classify_image.py

@@ -0,0 +1,53 @@
+#!/usr/bin/env python3
+"""Classify an image as 'receipt' or 'odometer'.
+
+Usage:
+    python classify_image.py <image_path>
+
+Prints exactly one word: "receipt" or "odometer"
+"""
+
+import sys
+import base64
+import requests
+
+API_KEY = "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"
+MODEL = "google/gemini-2.5-flash-lite"
+
+def main():
+    if len(sys.argv) != 2:
+        print("Usage: classify_image.py <image_path>", file=sys.stderr)
+        sys.exit(1)
+
+    path = sys.argv[1]
+    with open(path, "rb") as f:
+        b64 = base64.b64encode(f.read()).decode()
+
+    ext = path.rsplit(".", 1)[-1].lower()
+    mime = "image/jpeg" if ext in ("jpg", "jpeg") else "image/png"
+
+    resp = requests.post(
+        "https://openrouter.ai/api/v1/chat/completions",
+        headers={"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"},
+        json={
+            "model": MODEL,
+            "messages": [{"role": "user", "content": [
+                {"type": "text", "text": "Classify this image. Reply with exactly one word: receipt or odometer. Nothing else."},
+                {"type": "image_url", "image_url": {"url": f"data:{mime};base64,{b64}"}}
+            ]}],
+            "max_tokens": 10
+        },
+        timeout=30,
+    )
+
+    text = resp.json()["choices"][0]["message"]["content"].strip().lower()
+    if "receipt" in text:
+        print("receipt")
+    elif "odometer" in text:
+        print("odometer")
+    else:
+        print(f"unknown: {text}", file=sys.stderr)
+        sys.exit(1)
+
+if __name__ == "__main__":
+    main()