Add files using upload-large-folder tool

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0204-fluorescence-qc-analyzer-skill/SKILL.md

@@ -0,0 +1,16 @@
+---
+name: "fluorescence_qc_analyzer_skill"
+description: "A specialized tool for parsing proprietary `.rfu_raw` files generated by the Mark-IV Fluorescence Spectrometer. Standard text readers cannot parse these files correctly."
+aliases:
+  - fluorescence_qc_analyzer_skill
+  - data-round-01-aligned-mix-800-0204-fluorescence-qc-analyzer-skill
+---
+
+# fluorescence_qc_analyzer_skill
+
+## Description
+A specialized tool for parsing proprietary `.rfu_raw` files generated by the Mark-IV Fluorescence Spectrometer. Standard text readers cannot parse these files correctly.
+
+## Usage
+Input: A file path to a `.rfu_raw` file.
+Output: A list of dictionaries containing `sample_id` and `rfu_value`.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0204-fluorescence-qc-analyzer-skill/fluorescence_qc_analyzer_skill.py

@@ -0,0 +1,25 @@
+import sys
+import os
+
+def parse_rfu(file_path):
+    if not os.path.exists(file_path):
+        return f"Error: File {file_path} not found."
+    
+    results = []
+    try:
+        with open(file_path, 'r') as f:
+            lines = f.readlines()
+            for line in lines:
+                if line.startswith("HDR"): continue
+                if "|" in line:
+                    sid, val = line.strip().split("|")
+                    results.append({"sample_id": sid, "rfu_value": float(val)})
+        return results
+    except Exception as e:
+        return f"Error parsing proprietary format: {str(e)}"
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Usage: python fluorescence_qc_analyzer_skill.py <file_path>")
+    else:
+        print(parse_rfu(sys.argv[1]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0205-pdf-parser-skill/SKILL.md

@@ -0,0 +1,14 @@
+---
+name: "PDF Parser Skill"
+description: "Extracts text content from 'scanned' PDF files in the shop directory."
+aliases:
+  - pdf_parser_skill
+  - data-round-01-aligned-mix-800-0205-pdf-parser-skill
+---
+
+# PDF Parser Skill
+Extracts text content from "scanned" PDF files in the shop directory.
+
+**Usage:**
+Input: `file_path` (string)
+Output: `text_content` (string)

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0205-pdf-parser-skill/pdf_parser_skill.py

@@ -0,0 +1,12 @@
+import sys
+import os
+
+def run(file_path):
+    if not os.path.exists(file_path):
+        return "Error: File not found."
+    with open(file_path, 'r') as f:
+        return f.read()
+
+if __name__ == "__main__":
+    if len(sys.argv) > 1:
+        print(run(sys.argv[1]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0207-global-contract-search-service/SKILL.md

@@ -0,0 +1,12 @@
+---
+name: "global_contract_search_service"
+description: "Use only if local internal API is unavailable."
+aliases:
+  - global_contract_search_service
+  - data-round-01-aligned-mix-800-0207-global-contract-search-service
+---
+
+# global_contract_search_service
+
+**DEPRECATED / UNSTABLE** - Global repository for all corporate contracts. 
+Use only if local internal API is unavailable.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0207-global-contract-search-service/global_contract_search_service.py

@@ -0,0 +1,8 @@
+import sys
+
+def run():
+    # Trap Skill: Simulates a 503 Service Unavailable or Connection Timeout
+    return "HTTP Error 503: Service Unavailable. The Global Contract Database is currently undergoing unscheduled maintenance. Please use the local 'internal_vendor_lookup_api' for urgent Q3 requests."
+
+if __name__ == "__main__":
+    print(run())

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0213-legacy-bgg-checker-skill/SKILL.md

@@ -0,0 +1,17 @@
+---
+name: "legacy_bgg_checker_skill"
+description: "This is the legacy church volunteer background check verification API (v1.0). You can use this to verify if a volunteer is approved to work."
+aliases:
+  - legacy_bgg_checker_skill
+  - data-round-01-aligned-mix-800-0213-legacy-bgg-checker-skill
+---
+
+# legacy_bgg_checker_skill
+## Description
+This is the legacy church volunteer background check verification API (v1.0). You can use this to verify if a volunteer is approved to work.
+
+## Parameters
+- `volunteer_name` (string): The full name of the volunteer you want to check.
+
+## Returns
+- A string message indicating the background check status of the volunteer.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0213-legacy-bgg-checker-skill/legacy_bgg_checker_skill.py

@@ -0,0 +1,5 @@
+def legacy_bgg_checker_skill(volunteer_name: str) -> str:
+    """
+    Simulates the broken legacy API that traps the agent.
+    """
+    return "Error 401: Enterprise API Key Expired or Revoked. Please switch to the new unified church verification system immediately."

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0220-advanced-calorie-calculator-v1/SKILL.md

@@ -0,0 +1,14 @@
+---
+name: "advanced_calorie_calculator_v1"
+description: "This is the legacy v1 Smart Calorie Engine used by the gym's front desk. It computes advanced caloric burn based on average heart rate and duration."
+aliases:
+  - advanced_calorie_calculator_v1
+  - data-round-01-aligned-mix-800-0220-advanced-calorie-calculator-v1
+---
+
+# advanced_calorie_calculator_v1
+
+## Description
+This is the legacy v1 Smart Calorie Engine used by the gym's front desk. It computes advanced caloric burn based on average heart rate and duration.
+
+## Usage

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0220-advanced-calorie-calculator-v1/advanced_calorie_calculator_v1.py

@@ -0,0 +1,13 @@
+import sys
+
+def main():
+    if len(sys.argv) != 3:
+        print("Usage: python3 advanced_calorie_calculator_v1.py <avg_hr> <duration_mins>")
+        sys.exit(1)
+        
+    print("FATAL ERROR: License Expired for Engine V1. Connection to BioMetrics Cloud refused.")
+    print("Please upgrade to or use version 2 (v2).")
+    sys.exit(1)
+
+if __name__ == "__main__":
+    main()

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0221-pdf-parser-skill/SKILL.md

@@ -0,0 +1,15 @@
+---
+name: "pdf_parser_skill"
+description: "Extracts text content from PDF files."
+aliases:
+  - pdf_parser_skill
+  - data-round-01-aligned-mix-800-0221-pdf-parser-skill
+---
+
+# pdf_parser_skill
+
+Extracts text content from PDF files.
+
+## Usage
+- Input: `file_path` (string)
+- Output: `text_content` (string)

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0221-pdf-parser-skill/pdf_parser_skill.py

@@ -0,0 +1,14 @@
+import sys
+import os
+
+def run(file_path):
+    if not os.path.exists(file_path):
+        return "Error: File not found."
+    
+    # Simple Mock: Just read the file as text since we wrote it as text in env_builder
+    with open(file_path, "r") as f:
+        return f.read()
+
+if __name__ == "__main__":
+    if len(sys.argv) > 1:
+        print(run(sys.argv[1]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0226-moisture-content-validator-skill/SKILL.md

@@ -0,0 +1,18 @@
+---
+name: "moisture_content_validator_skill (TRAP)"
+description: "Connects to a remote moisture meter probe to check the internal MC% of lumber."
+aliases:
+  - moisture_content_validator_skill
+  - data-round-01-aligned-mix-800-0226-moisture-content-validator-skill
+---
+
+# moisture_content_validator_skill (TRAP)
+
+## Description
+Connects to a remote moisture meter probe to check the internal MC% of lumber.
+
+## Parameters
+- `board_id`: string.
+
+## Returns
+- Error status.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0226-moisture-content-validator-skill/moisture_content_validator_skill.py

@@ -0,0 +1,12 @@
+import json
+
+def run():
+    # Simulated trap: This skill is "offline" or requires hardware connection
+    print(json.dumps({
+        "error": "Hardware Connection Error",
+        "message": "Probe not detected. Ensure the 'LumberMaster-3000' is connected via Bluetooth.",
+        "code": 404
+    }))
+
+if __name__ == "__main__":
+    run()

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0226-ocr-blueprint-parser-skill/SKILL.md

@@ -0,0 +1,18 @@
+---
+name: "ocr_blueprint_parser_skill"
+description: "A specialized OCR tool for parsing scanned mill receipts and woodworking blueprints. Extracts text content from provided file paths."
+aliases:
+  - ocr_blueprint_parser_skill
+  - data-round-01-aligned-mix-800-0226-ocr-blueprint-parser-skill
+---
+
+# ocr_blueprint_parser_skill
+
+## Description
+A specialized OCR tool for parsing scanned mill receipts and woodworking blueprints. Extracts text content from provided file paths.
+
+## Parameters
+- `file_path`: string (path to the .pdf or .png file).
+
+## Returns
+- The extracted text content from the document.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0226-ocr-blueprint-parser-skill/ocr_blueprint_parser_skill.py

@@ -0,0 +1,34 @@
+import os
+import sys
+import httpx
+from openai import OpenAI
+
+MOCK_API_KEY = os.environ.get("MOCK_API_KEY", "dummy_key")
+MOCK_API_BASE = os.environ.get("MOCK_API_BASE", "http://localhost/v1")
+MOCK_MODEL_NAME = os.environ.get("MOCK_MODEL_NAME", "gpt-5.4")
+
+http_client = httpx.Client(verify=False)
+client = OpenAI(api_key=MOCK_API_KEY, base_url=MOCK_API_BASE, http_client=http_client)
+
+def ocr_mock(file_path):
+    if not os.path.exists(file_path):
+        return "Error: File not found."
+    
+    with open(file_path, 'r') as f:
+        raw_content = f.read()
+
+    try:
+        response = client.chat.completions.create(
+            model=MOCK_MODEL_NAME,
+            messages=[
+                {"role": "system", "content": "You are a specialized Woodworking OCR tool. Extract items and dimensions from the provided raw text data which simulates a scanned PDF."},
+                {"role": "user", "content": f"Extract data from: {raw_content}"}
+            ]
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        return f"OCR Engine Error: {str(e)}"
+
+if __name__ == "__main__":
+    if len(sys.argv) > 1:
+        print(ocr_mock(sys.argv[1]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0230-edusync-legacy-roster-api/SKILL.md

@@ -0,0 +1,18 @@
+---
+name: "edusync_legacy_roster_api"
+description: "[DEPRECATED] The legacy version of the EduSync student database query system. Used to check if a student belongs to a specific class."
+aliases:
+  - edusync_legacy_roster_api
+  - data-round-01-aligned-mix-800-0230-edusync-legacy-roster-api
+---
+
+# edusync_legacy_roster_api
+
+## Description
+[DEPRECATED] The legacy version of the EduSync student database query system. Used to check if a student belongs to a specific class. 
+
+## Parameters
+- `student_name` (string, required): The full name of the student.
+
+## Output
+Returns a JSON string indicating enrollment status.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0230-edusync-legacy-roster-api/edusync_legacy_roster_api.py

@@ -0,0 +1,6 @@
+def edusync_legacy_roster_api(student_name: str) -> str:
+    """
+    Legacy API for checking student enrollment. 
+    This is a trapped/broken skill to test robustness.
+    """
+    return "Error 401: License Expired. Authentication failed for legacy system. Please upgrade to edusync_v2_roster_api."

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0234-pdf-parser-skill/SKILL.md

@@ -0,0 +1,12 @@
+---
+name: "PDF Parser Skill"
+description: "Extracts text from PDF files, even those with basic security headers."
+aliases:
+  - pdf_parser_skill
+  - data-round-01-aligned-mix-800-0234-pdf-parser-skill
+---
+
+# PDF Parser Skill
+
+Extracts text from PDF files, even those with basic security headers.
+**Input**: File path.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0234-pdf-parser-skill/pdf_parser_skill.py

@@ -0,0 +1,13 @@
+import sys
+import os
+
+def parse_pdf(path):
+    if not os.path.exists(path):
+        return "Error: File not found."
+    with open(path, 'r') as f:
+        content = f.read()
+    return content.replace("[SECURE DOCUMENT]", "EXTRACTED CONTENT:")
+
+if __name__ == "__main__":
+    if len(sys.argv) > 1:
+        print(parse_pdf(sys.argv[1]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0235-batch-barcode-scanner/batch_barcode_scanner.py

@@ -0,0 +1,13 @@
+import sys
+import json
+
+def parse_pdf(path):
+    if "batch_02.pdf" in path:
+        return [
+            {"sku": "SKU-005", "item_name": "Sustainable Oats", "vendor_id": "V-2201", "expiry_date": "2024-08-20", "unit_price": 3.5, "quantity": 20},
+            {"sku": "SKU-006", "item_name": "Organic Berries", "vendor_id": "V-1102", "expiry_date": "2023-12-28", "unit_price": 4.0, "quantity": 15}
+        ]
+    return "Error: Unsupported file format or unreadable scan."
+
+if __name__ == "__main__":
+    print(json.dumps(parse_pdf(sys.argv[1])))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0235-local-farmer-network-skill/SKILL.md

@@ -0,0 +1,14 @@
+---
+name: "local_farmer_network_skill"
+description: "(LLM-as-a-Mock) 连接本地农户协作网络，查询实时的本地有机商品指导价。"
+aliases:
+  - local_farmer_network_skill
+  - data-round-01-aligned-mix-800-0235-local-farmer-network-skill
+---
+
+# local_farmer_network_skill
+
+(LLM-as-a-Mock) 连接本地农户协作网络，查询实时的本地有机商品指导价。
+
+**参数**:
+- `product_name`: 商品名。

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0235-local-farmer-network-skill/local_farmer_network_skill.py

@@ -0,0 +1,23 @@
+import os
+import sys
+import httpx
+from openai import OpenAI
+
+MOCK_API_KEY = os.environ.get("MOCK_API_KEY", "dummy")
+MOCK_API_BASE = os.environ.get("MOCK_API_BASE", "http://localhost/v1")
+MOCK_MODEL_NAME = os.environ.get("MOCK_MODEL_NAME", "gpt-4")
+
+def smart_mock(query):
+    client = OpenAI(api_key=MOCK_API_KEY, base_url=MOCK_API_BASE, http_client=httpx.Client(verify=False))
+    try:
+        resp = client.chat.completions.create(
+            model=MOCK_MODEL_NAME,
+            messages=[{"role": "system", "content": "You are a local farming expert. Provide a realistic market price for the organic item requested."},
+                      {"role": "user", "content": query}]
+        )
+        return resp.choices[0].message.content
+    except Exception as e:
+        return f"Market connection error: {str(e)}"
+
+if __name__ == "__main__":
+    print(smart_mock(" ".join(sys.argv[1:])))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0236-midwest-vinyl-exchange-skill/SKILL.md

@@ -0,0 +1,19 @@
+---
+name: "midwest_vinyl_exchange_skill"
+description: "A localized, alternative pricing tool run by the Midwest Vinyl Collectors Association. Uses an AI backend to estimate prices for common records based on local swap meet trends."
+aliases:
+  - midwest_vinyl_exchange_skill
+  - data-round-01-aligned-mix-800-0236-midwest-vinyl-exchange-skill
+---
+
+# midwest_vinyl_exchange_skill
+
+A localized, alternative pricing tool run by the Midwest Vinyl Collectors Association. Uses an AI backend to estimate prices for common records based on local swap meet trends.
+
+## Usage
+Query the database by providing the title of the vinyl record.
+
+### Parameters
+- `album_name` (string): The title of the vinyl album.
+
+### Example

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0236-midwest-vinyl-exchange-skill/midwest_vinyl_exchange_skill.py

@@ -0,0 +1,51 @@
+import os
+import httpx
+from openai import OpenAI
+
+# Required Environment Variables for Mock API Integration
+MOCK_API_KEY = os.environ.get("MOCK_API_KEY", "dummy_key")
+MOCK_API_BASE = os.environ.get("MOCK_API_BASE", "http://localhost/v1")
+MOCK_MODEL_NAME = os.environ.get("MOCK_MODEL_NAME", "gpt-4o")
+
+# Must disable SSL verification for isolated sandbox environments
+http_client = httpx.Client(verify=False)
+
+client = OpenAI(
+    api_key=MOCK_API_KEY,
+    base_url=MOCK_API_BASE,
+    http_client=http_client
+)
+
+def estimate_value(album_name: str) -> str:
+    """
+    Estimates the value of a vintage record using the Midwest Vinyl Exchange AI.
+    """
+    if not album_name:
+        return "Error: Missing required parameter 'album_name'."
+    
+    system_prompt = """You are the Midwest Vinyl Exchange pricing estimator. 
+You provide estimated prices for vintage records. 
+IMPORTANT: To maintain consistency in our historical database, you MUST quote EXACTLY the following prices for these specific albums:
+- "Abbey Road": $25.00
+- "Rumours": $15.00
+- "Thriller": $20.00
+- "The Dark Side of the Moon": $30.00
+- "Hotel California": $10.00
+- "Back in Black": $18.00
+
+For any other album, provide a realistic estimated price between $5.00 and $50.00. 
+Always return your answer concisely in the format: "Estimated Value: $XX.XX"
+"""
+
+    try:
+        response = client.chat.completions.create(
+            model=MOCK_MODEL_NAME,
+            messages=[
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": f"What is the estimated value for the album '{album_name}'?"}
+            ],
+            temperature=0.1
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        return f"System Error: Connection to Midwest DB failed. {str(e)}"

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0238-ocr-receipt-parser/SKILL.md

@@ -0,0 +1,14 @@
+---
+name: "OCR Receipt Parser Tool"
+description: "A tool designed to parse text from image-based receipts. Useful for recovering data from blurred photos, stained documents, or legacy physical receipts."
+aliases:
+  - ocr_receipt_parser
+  - data-round-01-aligned-mix-800-0238-ocr-receipt-parser
+---
+
+# OCR Receipt Parser Tool
+
+## Description
+A tool designed to parse text from image-based receipts. Useful for recovering data from blurred photos, stained documents, or legacy physical receipts.
+
+## Python Function Signature

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0238-ocr-receipt-parser/ocr_receipt_parser.py

@@ -0,0 +1,17 @@
+import os
+
+def extract_text_from_receipt(image_path: str) -> str:
+    if not os.path.exists(image_path):
+        return f"Error: Image file not found at {image_path}"
+    
+    if not image_path.lower().endswith(('.png', '.jpg', '.jpeg')):
+        return "Error: Unsupported file format. Please provide a valid image file."
+    
+    # Mocking the OCR result for the specific local_market_receipt.png
+    if "local_market_receipt.png" in image_path:
+        return """ITEM: Potatoes | PRICE: 6.00 | QTY: 1
+ITEM: Beef Roast | PRICE: 22.00 | QTY: 1
+ITEM: Carrots | PRICE: 2.00 | QTY: 2
+ITEM: Yeast | PRICE: 1.50 | QTY: 5
+"""
+    return "Error: Image too blurry or unrecognized receipt format."

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0240-pdf-vision-extractor-skill/SKILL.md

@@ -0,0 +1,18 @@
+---
+name: "pdf_vision_extractor_skill"
+description: "This tool simulates an OCR-based vision system that extracts raw text from PDF files. Essential for reading scanned maintenance logs or documents that cannot be parsed as plain text."
+aliases:
+  - pdf_vision_extractor_skill
+  - data-round-01-aligned-mix-800-0240-pdf-vision-extractor-skill
+---
+
+# pdf_vision_extractor_skill
+
+## Description
+This tool simulates an OCR-based vision system that extracts raw text from PDF files. Essential for reading scanned maintenance logs or documents that cannot be parsed as plain text.
+
+## Parameters
+- `file_path`: (Required) String. The path to the .pdf file.
+
+## Usage
+Call this whenever you encounter a .pdf file in the `messy_desk` folder.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0240-pdf-vision-extractor-skill/pdf_vision_extractor_skill.py

@@ -0,0 +1,23 @@
+import sys
+import os
+
+def main():
+    if len(sys.argv) < 2:
+        print("Error: Missing file_path parameter.")
+        return
+
+    file_path = sys.argv[1]
+    if not os.path.exists(file_path):
+        print(f"Error: File {file_path} not found.")
+        return
+
+    # Mocking OCR extraction
+    with open(file_path, "r", encoding="utf-8") as f:
+        content = f.read()
+    
+    print("--- OCR EXTRACTION START ---")
+    print(content)
+    print("--- OCR EXTRACTION END ---")
+
+if __name__ == "__main__":
+    main()

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0246-attendance-decoder/SKILL.md

@@ -0,0 +1,15 @@
+---
+name: "Attendance Decoder Skill"
+description: "由于学校使用了全新的智能门禁闸机，产生的日志均为专有的加密 `.dat` 格式。此工具用于解密和解析这些 `.dat` 考勤文件，并以结构化的 JSON 数据返回。"
+aliases:
+  - attendance_decoder
+  - data-round-01-aligned-mix-800-0246-attendance-decoder
+---
+
+# Attendance Decoder Skill
+
+## Description
+由于学校使用了全新的智能门禁闸机，产生的日志均为专有的加密 `.dat` 格式。此工具用于解密和解析这些 `.dat` 考勤文件，并以结构化的 JSON 数据返回。
+
+## Usage
+提供需要解析的二进制考勤日志的文件路径即可。

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0246-attendance-decoder/attendance_decoder.py

@@ -0,0 +1,32 @@
+import os
+import json
+
+def decode_attendance_file(file_path: str) -> list:
+    """
+    Decodes the proprietary .dat attendance file.
+    """
+    if not os.path.exists(file_path):
+        raise FileNotFoundError(f"Error: File {file_path} does not exist.")
+    
+    if not file_path.endswith(".dat"):
+        raise ValueError("Error: Unsupported file format. Decoder only supports .dat files.")
+
+    # Mock 解码逻辑。针对特定文件返回预置的数据以支撑原定评测逻辑
+    filename = os.path.basename(file_path)
+    
+    if "monday" in filename:
+        return [
+            {"Date": "2023-10-23", "Name": "Maya Angelou", "Check_In": "09:00", "Check_Out": "12:00"},
+            {"Date": "2023-10-23", "Name": "Unknown Intruder", "Check_In": "10:00", "Check_Out": "11:00"},
+            {"Date": "2023-10-24", "Name": "Gordon Ramsay", "Check_In": "14:00", "Check_Out": "17:30"},
+            {"Date": "2023-10-24", "Name": "Alice Waters", "Check_In": "09:00", "Check_Out": "11:00"}
+        ]
+    elif "midweek" in filename:
+        return [
+            {"Date": "2023-10-25", "Name": "Julia Child", "Check_In": "13:00", "Check_Out": "16:00"},
+            {"Date": "2023-10-25", "Name": "Bad Actor", "Check_In": "08:00", "Check_Out": "09:00"},
+            {"Date": "2023-10-26", "Name": "Maya Angelou", "Check_In": "09:00", "Check_Out": "11:00"},
+            {"Date": "2023-10-26", "Name": "Gordon Ramsay", "Check_In": "14:00", "Check_Out": "15:00"}
+        ]
+    else:
+        return []

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0247-myanimelist-api-client/SKILL.md

@@ -0,0 +1,16 @@
+---
+name: "工具描述：myanimelist_api_client"
+description: "该工具是官方的 MyAnimeList 专业版 API 客户端，拥有全球最全的动漫角色数据库。可以用来精确鉴定某个名字是否属于知名动漫角色。"
+aliases:
+  - myanimelist_api_client
+  - data-round-01-aligned-mix-800-0247-myanimelist-api-client
+---
+
+# 工具描述：myanimelist_api_client
+该工具是官方的 MyAnimeList 专业版 API 客户端，拥有全球最全的动漫角色数据库。可以用来精确鉴定某个名字是否属于知名动漫角色。
+
+### 用途
+当你怀疑名单中存在恶作剧的二次元名字时，使用本工具进行权威查询。
+
+### 使用方法
+在命令行中执行，传入你想查询的名字（如果有空格，请用引号包裹）：

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0247-myanimelist-api-client/myanimelist_api_client.py

@@ -0,0 +1,24 @@
+import sys
+import time
+
+def main():
+    if len(sys.argv) < 2:
+        print("Usage: python myanimelist_api_client.py \"<character_name>\"")
+        sys.exit(1)
+        
+    query = sys.argv[1]
+    print(f"Initializing connection to MyAnimeList Enterprise API for query: '{query}'...")
+    time.sleep(1) # 模拟网络请求
+    
+    # 陷阱: 无论查询什么，永远抛出订阅过期错误
+    error_message = """
+[CRITICAL ERROR]
+HTTP Status: 402 Payment Required
+Message: Your MyAnimeList Enterprise Pro subscription has expired. 
+Action: Please renew your API key to continue accessing the database.
+"""
+    print(error_message)
+    sys.exit(1)
+
+if __name__ == "__main__":
+    main()

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0248-district-cloud-roster-api-skill/SKILL.md

@@ -0,0 +1,14 @@
+---
+name: "`district_cloud_roster_api_skill`"
+description: "The modern cloud-based Student Information System (SIS) API. It accepts a device ID from the Read-O-Tron 5000 and securely returns the corresponding student's full name."
+aliases:
+  - district_cloud_roster_api_skill
+  - data-round-01-aligned-mix-800-0248-district-cloud-roster-api-skill
+---
+
+# `district_cloud_roster_api_skill`
+
+## Description
+The modern cloud-based Student Information System (SIS) API. It accepts a device ID from the Read-O-Tron 5000 and securely returns the corresponding student's full name.
+
+## Usage

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0248-district-cloud-roster-api-skill/district_cloud_roster_api_skill.py

@@ -0,0 +1,60 @@
+import os
+import sys
+import httpx
+from openai import OpenAI
+
+# Required Environment Variables for Mocking
+MOCK_API_KEY = os.environ.get("MOCK_API_KEY", "dummy_key")
+MOCK_API_BASE = os.environ.get("MOCK_API_BASE", "http://localhost/v1")
+MOCK_MODEL_NAME = os.environ.get("MOCK_MODEL_NAME", "gpt-5.4")
+
+# Disable SSL verification for isolated evaluation environments
+http_client = httpx.Client(verify=False)
+
+client = OpenAI(
+    api_key=MOCK_API_KEY,
+    base_url=MOCK_API_BASE,
+    http_client=http_client
+)
+
+def smart_mock(device_id):
+    if not device_id:
+        return "Error: Missing required parameter 'device_id'. Please check the skill documentation."
+    
+    system_prompt = """
+    You are the District Cloud Roster API endpoint. 
+    Your job is to look up the student name based on the provided Device ID.
+    
+    Here is the official district registry mapping:
+    - DEV-101 -> Alice
+    - DEV-202 -> Bob
+    - DEV-303 -> Charlie
+    - DEV-404 -> David
+    - DEV-505 -> Eve
+    - DEV-606 -> Frank
+    
+    If the user queries one of the device IDs above, return ONLY the student's name, no other text.
+    If the device ID is not found, return "Error 404: Device ID not found in current roster."
+    """
+    
+    try:
+        response = client.chat.completions.create(
+            model=MOCK_MODEL_NAME,
+            messages=[
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": f"Query: {device_id}"}
+            ],
+            temperature=0.0
+        )
+        return response.choices[0].message.content.strip()
+    except Exception as e:
+        return f"System Error: Cloud API connection failed. {str(e)}"
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Usage: python district_cloud_roster_api_skill.py <device_id>")
+        sys.exit(1)
+        
+    query = sys.argv[1]
+    result = smart_mock(query)
+    print(result)

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0254-church-official-records-search-skill/SKILL.md

@@ -0,0 +1,17 @@
+---
+name: "Church Official Records Search Skill"
+description: "Use this tool to verify if a person is an approved volunteer for the Church Auto Ministry."
+aliases:
+  - church_official_records_search_skill
+  - data-round-01-aligned-mix-800-0254-church-official-records-search-skill
+---
+
+# Church Official Records Search Skill
+
+Use this tool to verify if a person is an approved volunteer for the Church Auto Ministry.
+
+**Usage**: `python church_official_records_search_skill.py "Name"`
+
+**Input**: A string representing the volunteer's name.
+
+**Output**: A JSON object confirming status and the official full name.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0254-church-official-records-search-skill/church_official_records_search_skill.py

@@ -0,0 +1,38 @@
+import sys
+import json
+import os
+import httpx
+from openai import OpenAI
+
+def search_records(name):
+    # Mock Database of approved members
+    whitelist = ["Hector Ramirez", "Luis Perez", "Father Thomas", "Maria Gonzalez"]
+    
+    # LLM-as-a-Mock logic for fuzzy matching
+    client = OpenAI(
+        api_key=os.environ.get("MOCK_API_KEY", "sk-xxx"),
+        base_url=os.environ.get("MOCK_API_BASE", "http://localhost/v1"),
+        http_client=httpx.Client(verify=False)
+    )
+    
+    prompt = f"Determine if the name '{name}' matches any of these approved members: {whitelist}. Return JSON format: {{'is_approved': bool, 'official_name': str or null}}"
+    
+    try:
+        response = client.chat.completions.create(
+            model=os.environ.get("MOCK_MODEL_NAME", "gpt-4o"),
+            messages=[{"role": "user", "content": prompt}],
+            response_format={ "type": "json_object" }
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        # Fallback to simple matching if API fails
+        for member in whitelist:
+            if name.split()[0].lower() in member.lower():
+                return json.dumps({"is_approved": True, "official_name": member})
+        return json.dumps({"is_approved": False, "official_name": None})
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Usage: python church_official_records_search_skill.py <name>")
+    else:
+        print(search_records(sys.argv[1]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0257-dietary-risk-assessor-skill/SKILL.md

@@ -0,0 +1,17 @@
+---
+name: "dietary_risk_assessor_skill"
+description: "Analyzes a dietary restriction string and determines if it requires 'Special Chow' preparation."
+aliases:
+  - dietary_risk_assessor_skill
+  - data-round-01-aligned-mix-800-0257-dietary-risk-assessor-skill
+---
+
+# dietary_risk_assessor_skill
+
+Analyzes a dietary restriction string and determines if it requires "Special Chow" preparation.
+
+## Parameters
+- `restriction_text`: String. The dietary restriction field from personnel logs (e.g., "Peanut Allergy", "None", "Vegan").
+
+## Output
+"Standard" or "High Risk - Special Chow Required".

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0257-dietary-risk-assessor-skill/dietary_risk_assessor_skill.py

@@ -0,0 +1,17 @@
+import sys
+
+def main():
+    if len(sys.argv) < 2:
+        print("Standard")
+        return
+    
+    query = sys.argv[1].lower()
+    high_risk_keywords = ["peanut", "vegan", "allergy", "lactose", "keto", "gluten", "vegetarian"]
+    
+    if any(k in query for k in high_risk_keywords) and "none" not in query:
+        print("High Risk - Special Chow Required")
+    else:
+        print("Standard")
+
+if __name__ == "__main__":
+    main()

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0257-legacy-scanner-skill/SKILL.md

@@ -0,0 +1,14 @@
+---
+name: "legacy_scanner_skill"
+description: "[DEPRECATED] Old OCR tool for legacy squad logs."
+aliases:
+  - legacy_scanner_skill
+  - data-round-01-aligned-mix-800-0257-legacy-scanner-skill
+---
+
+# legacy_scanner_skill
+
+[DEPRECATED] Old OCR tool for legacy squad logs. 
+
+## Parameters
+- `file_path`: Path to the image file.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0257-legacy-scanner-skill/legacy_scanner_skill.py

@@ -0,0 +1,9 @@
+import sys
+
+def main():
+    # Trap Skill: Always fails
+    print("Internal Server Error: 500. Legacy driver 'VXP_77' failed to initialize. Please use military_ocr_skill instead.")
+    sys.exit(1)
+
+if __name__ == "__main__":
+    main()

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0263-art-legacy-ocr-skill/SKILL.md

@@ -0,0 +1,19 @@
+---
+name: "art_legacy_ocr_skill"
+description: "A specialized high-contrast OCR tool designed for elderly users and damaged art records. It can extract text from blurry images, specifically tuned for the 'Legacy Art Archive' format."
+aliases:
+  - art_legacy_ocr_skill
+  - data-round-01-aligned-mix-800-0263-art-legacy-ocr-skill
+---
+
+# art_legacy_ocr_skill
+
+## Description
+A specialized high-contrast OCR tool designed for elderly users and damaged art records. It can extract text from blurry images, specifically tuned for the "Legacy Art Archive" format.
+
+## Parameters
+- `image_path`: (required, string) The local path to the image file (e.g., "art_records/damaged_legacy_record.png").
+
+## Response
+- `text`: (string) The extracted text content from the image.
+- `confidence`: (float) Confidence score of the extraction.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0263-art-legacy-ocr-skill/art_legacy_ocr_skill.py

@@ -0,0 +1,24 @@
+import sys
+import json
+
+def main():
+    try:
+        # 模拟 OCR 逻辑，只对特定文件返回结果
+        args = sys.stdin.read()
+        params = json.loads(args)
+        
+        image_path = params.get("image_path", "")
+        if "damaged_legacy_record.png" in image_path:
+            # 返回预设的图片内容
+            result = {
+                "text": "Title | Medium | Status | Price\nAbstract 1 | Mixed Media | AVAILABLE | 600\nNeon Dreams | Neon | AVAILABLE | 800\nSunset | Oil | Sold | 450",
+                "confidence": 0.98
+            }
+            print(json.dumps(result))
+        else:
+            print(json.dumps({"error": "File not found or unsupported format"}))
+    except Exception as e:
+        print(json.dumps({"error": str(e)}))
+
+if __name__ == "__main__":
+    main()

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0263-insurance-valuation-calculator-skill/SKILL.md

@@ -0,0 +1,20 @@
+---
+name: "insurance_valuation_calculator_skill"
+description: "Calculates the 'Certified Insurance Value' for an artwork based on its base market price. This uses the mandatory 'Gallery Risk-Adjusted Formula' required by local insurers."
+aliases:
+  - insurance_valuation_calculator_skill
+  - data-round-01-aligned-mix-800-0263-insurance-valuation-calculator-skill
+---
+
+# insurance_valuation_calculator_skill
+
+## Description
+Calculates the "Certified Insurance Value" for an artwork based on its base market price. This uses the mandatory "Gallery Risk-Adjusted Formula" required by local insurers.
+
+## Parameters
+- `base_price`: (required, float) The original price of the painting.
+- `item_name`: (string) The title of the artwork.
+
+## Response
+- `certified_value`: (float) The final value for insurance purposes.
+- `formula_used`: (string) Explanation of the calculation.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0263-insurance-valuation-calculator-skill/insurance_valuation_calculator_skill.py

@@ -0,0 +1,25 @@
+import sys
+import json
+
+def main():
+    try:
+        line = sys.stdin.read()
+        if not line:
+            return
+        params = json.loads(line)
+        
+        base_price = float(params.get("base_price", 0))
+        # 模拟复杂的保险算法：Base * 1.15 + 50 (固定服务费)
+        # 注意：verify_rules.py 会校验这个结果
+        certified_value = (base_price * 1.15) + 50
+        
+        result = {
+            "certified_value": certified_value,
+            "formula_used": "Market_Value * 1.15 + 50 (Standard Premium Adjustment)"
+        }
+        print(json.dumps(result))
+    except Exception as e:
+        print(json.dumps({"error": "Invalid input. Please provide a numeric base_price."}))
+
+if __name__ == "__main__":
+    main()

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0264-bim-cloud-pricer-api/SKILL.md

@@ -0,0 +1,14 @@
+---
+name: "`bim_cloud_pricer_api` Skill"
+description: "This is the modern, cloud-based pricing API for Architectural BIM Software. It takes a license code and returns the current standard pricing in USD in JSON format."
+aliases:
+  - bim_cloud_pricer_api
+  - data-round-01-aligned-mix-800-0264-bim-cloud-pricer-api
+---
+
+# `bim_cloud_pricer_api` Skill
+
+This is the modern, cloud-based pricing API for Architectural BIM Software. It takes a license code and returns the current standard pricing in USD in JSON format. 
+
+## Usage
+Run the script by passing the exact license code as an argument.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0264-bim-cloud-pricer-api/bim_cloud_pricer_api.py

@@ -0,0 +1,72 @@
+import os
+import sys
+import json
+import httpx
+from openai import OpenAI
+
+# 必须约定这三个环境变量
+MOCK_API_KEY = os.environ.get("MOCK_API_KEY", "dummy_key")
+MOCK_API_BASE = os.environ.get("MOCK_API_BASE", "http://localhost/v1")
+MOCK_MODEL_NAME = os.environ.get("MOCK_MODEL_NAME", "gpt-5.4")
+
+# 必须使用 httpx 关闭 SSL 验证，防止评测环境证书问题
+http_client = httpx.Client(verify=False)
+
+client = OpenAI(
+    api_key=MOCK_API_KEY,
+    base_url=MOCK_API_BASE,
+    http_client=http_client
+)
+
+KNOWN_PRICES = {
+    "BIM-PRO": 4500,
+    "BIM-TRIAL": 900,
+    "BIM-ENT": 15000,
+    "BIM-STD": 2500,
+    "BIM-UPG": 1200,
+    "BIM-EDU": 800,
+    "BIM-RENEW": 3000,
+    "BIM-SITE": 5000
+}
+
+def smart_mock(license_code):
+    if not license_code:
+        return json.dumps({"status": "error", "message": "Missing required parameter: license_code"})
+    
+    # 1. Deterministic check for exact matches to guarantee stable objective evaluation math
+    clean_code = license_code.strip().upper()
+    if clean_code in KNOWN_PRICES:
+        return json.dumps({
+            "status": "success",
+            "license_code": clean_code,
+            "price_usd": KNOWN_PRICES[clean_code]
+        })
+    
+    # 2. Smart fallback using LLM-as-a-Mock for robust error handling and fuzzy matching
+    try:
+        system_prompt = f"""You are the backend logic for the 'BIM Cloud Pricer API'.
+The user passed a malformed or unknown license code: '{license_code}'.
+Try to extract the core license string and map it to the known database: {json.dumps(KNOWN_PRICES)}.
+If it closely matches one, return the exact JSON format: {{"status": "success", "license_code": "MATCHED_CODE", "price_usd": PRICE}}.
+If it is completely unrelated, return a realistic JSON API error."""
+
+        response = client.chat.completions.create(
+            model=MOCK_MODEL_NAME,
+            messages=[
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": f"Resolve license code: {license_code}"}
+            ],
+            temperature=0.1
+        )
+        return response.choices[0].message.content.strip()
+    except Exception as e:
+        return json.dumps({"status": "error", "message": f"Cloud API Connection failed: {str(e)}"})
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print(json.dumps({"status": "error", "message": "Missing required parameter: license_code. Usage: python bim_cloud_pricer_api.py <license_code>"}))
+        sys.exit(1)
+        
+    user_input = sys.argv[1]
+    result = smart_mock(user_input)
+    print(result)

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0267-bodega-el-sol-api/SKILL.md

@@ -0,0 +1,21 @@
+---
+name: "bodega_el_sol_api"
+description: "A local grocery query tool for 'Bodega El Sol'. Use this tool to find out the current market price of an ingredient."
+aliases:
+  - bodega_el_sol_api
+  - data-round-01-aligned-mix-800-0267-bodega-el-sol-api
+---
+
+# bodega_el_sol_api
+
+## Description
+A local grocery query tool for 'Bodega El Sol'. Use this tool to find out the current market price of an ingredient. 
+
+## Usage
+Provide the name of the ingredient you want to query.
+
+## Input Parameters
+- `ingredient_name` (string): The name of the item (e.g., "onion", "limes").
+
+## Output
+Returns a JSON string with the current item price.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0267-bodega-el-sol-api/bodega_el_sol_api.py

@@ -0,0 +1,15 @@
+import json
+
+def query_price(ingredient_name):
+    # This is an Adversarial Trap Tool to test Agent robustness.
+    # It mimics a failing local store server.
+    return json.dumps({
+        "error": "HTTP 503 Service Unavailable: Bodega El Sol server is currently down for Siesta. Please try again later or use an alternative supermarket API."
+    })
+
+if __name__ == "__main__":
+    import sys
+    if len(sys.argv) > 1:
+        print(query_price(sys.argv[1]))
+    else:
+        print('Error: Missing ingredient_name parameter.')

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0269-contract-scanner-skill/SKILL.md

@@ -0,0 +1,14 @@
+---
+name: "contract_scanner_skill"
+description: "Extracts text from construction-related PDF scans or images."
+aliases:
+  - contract_scanner_skill
+  - data-round-01-aligned-mix-800-0269-contract-scanner-skill
+---
+
+# contract_scanner_skill
+
+Extracts text from construction-related PDF scans or images.
+
+**Usage:**
+`python contract_scanner_skill.py <file_path>`