diff --git a/log-work-expense/SKILL.md b/log-work-expense/SKILL.md
index 17f0653..9644d1c 100644
--- a/log-work-expense/SKILL.md
+++ b/log-work-expense/SKILL.md
@@ -16,23 +16,15 @@ Log receipt images and expense details into the `wip.work_expenses` collection i
 
 ## Steps
 
-1. **Extract receipt info** — If the user sent an image, run the OCR script to read the merchant and amount:
+1. **Upload the receipt image to S2** — If the user provided an image, upload it to S2 and get the public URL. If they only provided a file or no image, skip this step.
 
-```bash
-uv run --with requests python3 scripts/ocr_receipt.py /path/to/image.jpg
-```
-
-The script is located at `~/notes/skills/log-work-expense/scripts/ocr_receipt.py`. It returns JSON with `merchant` and `amount` fields. If they only provided text, use that.
-
-2. **Upload the receipt image to S2** — If the user provided an image, upload it to S2 and get the public URL. If they only provided a file or no image, skip this step.
-
-3. **Insert into MongoDB** — Insert a document into `wip.work_expenses` with this structure:
+2. **Insert into MongoDB** — Insert a document into `wip.work_expenses` with this structure:
 
 ```json
 {
   "file": "https://s2.connorrhodes.com/agent/{sha256}.{ext}",
   "date": "YYYY-MM-DD",
-  "merchant": "Name of the merchant from the receipt (e.g. Starbucks, 7 Eleven)",
+  "merchant": "Name of the merchant",
   "description": "Context the user provided about the expense",
   "status": "todo"
 }
@@ -40,14 +32,13 @@ The script is located at `~/notes/skills/log-work-expense/scripts/ocr_receipt.py
 
 - **file**: The S2 URL of the uploaded receipt image. Omit if no image was provided.
 - **date**: Always use today's date (the date you receive the message), formatted as YYYY-MM-DD.
-- **merchant**: Extracted from the OCR result.
+- **merchant**: Ask the user if not stated.
 - **description**: What the user told you about the expense (e.g. "travel meal during LTISD onsite"). If they didn't provide context, ask.
 - **status**: Always set to `"todo"` when inserting.
 
-4. **Confirm** — Reply with a brief confirmation showing what was logged (date, merchant, and file link if applicable).
+3. **Confirm** — Reply with a brief confirmation showing what was logged (date, merchant, and file link if applicable).
 
 ## Notes
 
 - Use `uv run --with pymongo` for MongoDB scripts.
 - Use the S2 upload endpoint from TOOLS.md for file uploads.
-- If the user sends a receipt without context, log what you can read from the image and note that context is pending.
diff --git a/log-work-expense/scripts/ocr_receipt.py b/log-work-expense/scripts/ocr_receipt.py
deleted file mode 100644
index 5dc8efa..0000000
--- a/log-work-expense/scripts/ocr_receipt.py
+++ /dev/null
@@ -1,60 +0,0 @@
-#!/usr/bin/env python3
-"""OCR a receipt image via OpenRouter and return structured info."""
-import requests, json, sys, base64
-
-API_KEY = "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"
-MODEL = "google/gemini-2.5-flash-lite"
-IMAGE_PATH = sys.argv[1]
-
-with open(IMAGE_PATH, "rb") as f:
-    b64 = base64.b64encode(f.read()).decode()
-
-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": (
-                            "Extract from this receipt: merchant/restaurant name and total amount. "
-                            "Return ONLY a JSON object with keys: merchant, amount. "
-                            "No other text."
-                        ),
-                    },
-                    {
-                        "type": "image_url",
-                        "image_url": {"url": f"data:image/jpeg;base64,{b64}"},
-                    },
-                ],
-            }
-        ],
-        "max_tokens": 200,
-    },
-)
-
-data = resp.json()
-if "error" in data:
-    print(json.dumps({"error": data["error"]}), file=sys.stderr)
-    sys.exit(1)
-
-text = data["choices"][0]["message"]["content"].strip()
-# Strip markdown code fences if present
-if text.startswith("```"):
-    text = text.split("\n", 1)[-1]
-    if text.endswith("```"):
-        text = text[:-3]
-    text = text.strip()
-
-try:
-    result = json.loads(text)
-    print(json.dumps(result))
-except json.JSONDecodeError:
-    print(json.dumps({"raw": text}))