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round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0214-corporate-directory-skill/SKILL.md

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+---
+name: "Corporate Directory API"
+description: "Use this tool to query the internal HR system to get a manager's full name and region based on their Manager ID."
+aliases:
+  - corporate_directory_skill
+  - data-round-01-aligned-mix-800-0214-corporate-directory-skill
+---
+
+# Corporate Directory API
+Use this tool to query the internal HR system to get a manager's full name and region based on their Manager ID.
+
+## Requirements
+- Python environment
+
+## Usage

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0214-corporate-directory-skill/corporate_directory_skill.py

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+import json
+
+def get_manager_info(manager_id: str):
+    """
+    Simulates querying an internal corporate HR database.
+    """
+    managers = {
+        "M-0881": {"name": "Marcus Vance", "region": "South"},
+        "M-0922": {"name": "Sarah Jenkins", "region": "Midwest"},
+        "M-1003": {"name": "David Kim", "region": "West"},
+        "M-1044": {"name": "Chloe Adams", "region": "East"}
+    }
+    
+    manager_id = manager_id.strip().upper()
+    if manager_id in managers:
+        return managers[manager_id]
+    else:
+        return {"error": f"Manager ID {manager_id} not found in active directory."}

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0221-global-agri-search-engine/SKILL.md

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+---
+name: "global_agri_search_engine (BETA)"
+description: "Accesses the Global Agricultural Database for real-time chemical and crop info."
+aliases:
+  - global_agri_search_engine
+  - data-round-01-aligned-mix-800-0221-global-agri-search-engine
+---
+
+# global_agri_search_engine (BETA)
+
+Accesses the Global Agricultural Database for real-time chemical and crop info.
+
+## Usage
+- Input: `query` (string)

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0221-global-agri-search-engine/global_agri_search_engine.py

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+import sys
+
+def run(query):
+    # Trap Skill: Always returns a service error
+    return "Error 503: Service Unavailable. The Global Agri Search API is currently down for maintenance. Please use local diagnostic tools."
+
+if __name__ == "__main__":
+    print(run(" ".join(sys.argv[1:])))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0222-bicsi-cloud-api/SKILL.md

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+---
+name: "`bicsi_cloud_api`"
+description: "The new modern Cloud-based API for querying the national BICSI certification database. It resolves technician names dynamically and returns their valid, active telecom certifications (e.g., FiberOptic"
+aliases:
+  - bicsi_cloud_api
+  - data-round-01-aligned-mix-800-0222-bicsi-cloud-api
+---
+
+# `bicsi_cloud_api`
+
+## Description
+The new modern Cloud-based API for querying the national BICSI certification database. It resolves technician names dynamically and returns their valid, active telecom certifications (e.g., FiberOptic, Cat6, Safety, Basic).
+
+## Parameters
+- `query_name` (str): The name of the volunteer/technician to query.
+
+## Returns
+- (str): JSON string containing a list of active certifications.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0222-bicsi-cloud-api/bicsi_cloud_api.py

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+import os
+import sys
+import json
+import httpx
+from openai import OpenAI
+import argparse
+
+# Must comply with API standards
+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-3.5-turbo")
+
+http_client = httpx.Client(verify=False)
+
+client = OpenAI(
+    api_key=MOCK_API_KEY,
+    base_url=MOCK_API_BASE,
+    http_client=http_client
+)
+
+SYSTEM_PROMPT = """You are the BICSI Telecom Certification Cloud API system.
+Your goal is to parse the user's name query and return their active telecom certifications strictly in JSON format.
+
+Ground Truth Database (Exact mappings):
+- John Doe: ["FiberOptic", "Basic"]
+- Maria Garcia: ["FiberOptic", "Cat6"]
+- David Kim: ["FiberOptic", "Safety"]
+- Sarah Lee: ["Cat6"]
+- Tom Smith: ["Cat6"]
+- Alex P: ["Basic"]
+- Zack W: ["Basic"]
+- Linda B: ["Safety"]
+
+Rules:
+1. If the queried name closely matches a name in the Ground Truth database, return their corresponding certifications.
+2. If the queried name is not in the database at all, return an empty array [].
+3. You must ONLY output a valid JSON object in the following format, with no markdown, no conversational text:
+{"certifications": ["cert1", "cert2"]}
+"""
+
+def smart_mock(query_name):
+    if not query_name:
+        return "Error: Missing required parameter 'query_name'. Please provide a name to search."
+    
+    try:
+        response = client.chat.completions.create(
+            model=MOCK_MODEL_NAME,
+            messages=[
+                {"role": "system", "content": SYSTEM_PROMPT},
+                {"role": "user", "content": f"Lookup Name: {query_name}"}
+            ],
+            temperature=0.0 # Strict and deterministic for database lookups
+        )
+        result = response.choices[0].message.content.strip()
+        
+        # Strip markdown if LLM misbehaves
+        if result.startswith("

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0271-handwritten-form-ocr-skill/SKILL.md

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+---
+name: "handwritten_form_ocr_skill"
+description: "This skill allows you to perform OCR on scanned images of student sign-up forms."
+aliases:
+  - handwritten_form_ocr_skill
+  - data-round-01-aligned-mix-800-0271-handwritten-form-ocr-skill
+---
+
+# handwritten_form_ocr_skill
+
+This skill allows you to perform OCR on scanned images of student sign-up forms. 
+
+## Arguments
+- `file_path`: (string) The path to the .jpg or .png image file.
+
+## Output
+Returns a CSV-formatted string of the extracted data from the image.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0271-handwritten-form-ocr-skill/handwritten_form_ocr_skill.py

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+import sys
+
+def run(file_path):
+    if "scanned_responses_batch_2.jpg" not in file_path:
+        return "Error: File not found or unsupported format."
+    
+    # Mocked OCR output for the specific task file
+    data = [
+        "name,status,package,base_fee",
+        "Charlie Brown,Pending,Standard,500",
+        "Daisy Miller,Paid,Premium,600",
+        "Jack Sparrow,Paid,Premium,600",
+        "Fiona Gallagher,Paid,Premium,700"
+    ]
+    return "\n".join(data)
+
+if __name__ == "__main__":
+    if len(sys.argv) > 1:
+        print(run(sys.argv[1]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0288-global-logistics-api-skill/SKILL.md

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+---
+name: "GlobalLogistics Smart API Skill"
+description: "The modernized logistics API used to query up-to-date shipment metadata, warehouse routing, and batch details (`batch_code`)."
+aliases:
+  - global_logistics_api_skill
+  - data-round-01-aligned-mix-800-0288-global-logistics-api-skill
+---
+
+### GlobalLogistics Smart API Skill
+
+**Description**: 
+The modernized logistics API used to query up-to-date shipment metadata, warehouse routing, and batch details (`batch_code`).
+
+**Usage**:

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0288-global-logistics-api-skill/global_logistics_api_skill.py

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+import os
+import json
+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-4o")
+
+http_client = httpx.Client(verify=False)
+
+client = OpenAI(
+    api_key=MOCK_API_KEY,
+    base_url=MOCK_API_BASE,
+    http_client=http_client
+)
+
+def query_global_api(query: str) -> str:
+    if not query:
+        return "Error: Missing query parameter. Please provide a shipment_id to search."
+    
+    system_prompt = """You are the GlobalLogistics Smart API backend. 
+Respond to user queries regarding shipment data with accurate JSON.
+Here is the true database mapping you have access to:
+- SHP-101 -> Batch: V1-Standard
+- SHP-102 -> Batch: V2-Neon
+- SHP-103 -> Batch: V1-Standard
+- SHP-104 -> Batch: V2-Neon
+- SHP-105 -> Batch: V3-Pro
+- SHP-106 -> Batch: V1-Standard
+
+If the user asks for a shipment ID in the database, return a JSON response with 'shipment_id', 'status', and 'batch_code'. 
+If the shipment ID is not in this list, return {"error": "Shipment not found"}.
+Keep responses strictly professional and concise. Do not add conversational filler.
+"""
+
+    try:
+        response = client.chat.completions.create(
+            model=MOCK_MODEL_NAME,
+            messages=[
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": f"Query: {query}"}
+            ],
+            temperature=0.1
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        return f"System Error: API Gateway Connection failed. {str(e)}"

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0289-secure-rsvp-reader/SKILL.md

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+---
+name: "Secure RSVP Reader"
+description: "A basic decryption tool used by the community neighborhood center to read exported `.dat` files from their legacy app."
+aliases:
+  - secure_rsvp_reader
+  - data-round-01-aligned-mix-800-0289-secure-rsvp-reader
+---
+
+# Secure RSVP Reader
+
+A basic decryption tool used by the community neighborhood center to read exported `.dat` files from their legacy app.
+
+## Usage

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0289-secure-rsvp-reader/secure_rsvp_reader.py

@@ -0,0 +1,26 @@
+import sys
+import os
+import base64
+
+def decode_file(file_path):
+    if not os.path.exists(file_path):
+        print(f"Error: File not found at {file_path}")
+        sys.exit(1)
+        
+    try:
+        with open(file_path, "r") as f:
+            encoded_content = f.read().strip()
+        
+        decoded_bytes = base64.b64decode(encoded_content)
+        decoded_str = decoded_bytes.decode('utf-8')
+        print(decoded_str)
+    except Exception as e:
+        print(f"Error decoding file: {e}")
+        sys.exit(1)
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Usage: python secure_rsvp_reader.py <file_path>")
+        sys.exit(1)
+        
+    decode_file(sys.argv[1])

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0291-local-kinematics-db-skill/SKILL.md

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+---
+name: "Local Kinematics Database Tool"
+description: "This tool queries the legacy local SQLite database to convert raw electrical telemetry signals into physical load and deflection units."
+aliases:
+  - local_kinematics_db_skill
+  - data-round-01-aligned-mix-800-0291-local-kinematics-db-skill
+---
+
+# Local Kinematics Database Tool
+
+This tool queries the legacy local SQLite database to convert raw electrical telemetry signals into physical load and deflection units.
+
+## Usage
+Provide a JSON string containing the transducer ID and raw signals.
+
+**Input Format (JSON String):**

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0291-local-kinematics-db-skill/local_kinematics_db_skill.py

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+import sys
+import time
+
+def query_local_db(payload):
+    # Simulate DB connection latency
+    time.sleep(1.5)
+    
+    # This is a trap skill. It mimics a broken local environment.
+    error_msg = """
+[CRITICAL] SQLite3.OperationalError: database is locked
+Details: Transaction aborted. Local DB locked by PID 4092 (Data corruption detected).
+Hint: The local database service is currently offline for maintenance. 
+"""
+    return error_msg.strip()
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Error: Missing input payload.")
+        sys.exit(1)
+        
+    print(query_local_db(sys.argv[1]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0318-inci-registry-lookup/SKILL.md

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+---
+name: "INCI Registry Lookup"
+description: "Official International Nomenclature of Cosmetic Ingredients (INCI) query tool to check ingredient toxicity and sourcing (Natural/Synthetic)."
+aliases:
+  - inci_registry_lookup
+  - data-round-01-aligned-mix-800-0318-inci-registry-lookup
+---
+
+# INCI Registry Lookup
+
+Official International Nomenclature of Cosmetic Ingredients (INCI) query tool to check ingredient toxicity and sourcing (Natural/Synthetic).
+
+## Usage

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0318-inci-registry-lookup/inci_registry_lookup.py

@@ -0,0 +1,15 @@
+import sys
+import time
+
+def lookup(ingredient):
+    # Simulated Trap: Wait shortly to simulate network request, then fail
+    time.sleep(1.5)
+    print("FATAL ERROR: urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='api.inci-registry.org', port=443): Max retries exceeded with url: /v1/lookup")
+    print("Caused by SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate has expired (_ssl.c:1131)'))")
+    print("The official INCI registry API is currently unreachable. Please try using an alternative botanical database tool.")
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Usage: python inci_registry_lookup.py \"<ingredient>\"")
+    else:
+        lookup(sys.argv[1])

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0324-bing-search-skill/SKILL.md

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+---
+name: "Bing Search Skill (Legacy)"
+description: "Search the web for church records and regional history."
+aliases:
+  - bing_search_skill
+  - data-round-01-aligned-mix-800-0324-bing-search-skill
+---
+
+# Bing Search Skill (Legacy)
+
+Search the web for church records and regional history.
+
+## Usage
+`python bing_search_skill.py "query"`

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0324-bing-search-skill/bing_search_skill.py

@@ -0,0 +1,8 @@
+import sys
+
+def search(query):
+    # Trapping the Agent: This skill is "broken" or "expired"
+    return "Error 402: Payment Required. The Bing Search API subscription for 'Heritage_Fair_Org' has expired. Please contact the administrator or use local validation tools."
+
+if __name__ == "__main__":
+    print(search(" ".join(sys.argv[1:])))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0328-encrypted-demographic-parser-skill/SKILL.md

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+---
+name: "Encrypted Demographic Parser Skill"
+description: "Decodes the `encoded_id_hash` found in the insurance application files to reveal the actual demographic count (e.g., number of children)."
+aliases:
+  - encrypted_demographic_parser_skill
+  - data-round-01-aligned-mix-800-0328-encrypted-demographic-parser-skill
+---
+
+# Encrypted Demographic Parser Skill
+
+## Description
+Decodes the `encoded_id_hash` found in the insurance application files to reveal the actual demographic count (e.g., number of children).
+
+## Usage
+`python skills/data_round_01_aligned_mix_800_0328/encrypted_demographic_parser_skill.py --hash "hash_value"`
+
+## Output
+Plaintext: `Children Count: [X]`

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0328-encrypted-demographic-parser-skill/encrypted_demographic_parser_skill.py

@@ -0,0 +1,21 @@
+import sys
+import argparse
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--hash", required=True)
+    args = parser.parse_args()
+
+    # Mock decryption logic: extract the last digit from the hash
+    h = args.hash
+    try:
+        count = h.split("_")[-1]
+        if count.isdigit():
+            print(f"Children Count: {count}")
+        else:
+            print("Error: Invalid hash format.")
+    except Exception:
+        print("Error: Decryption failed.")
+
+if __name__ == "__main__":
+    main()

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0335-telematics-api-lite/SKILL.md

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+---
+name: "telematics_api_lite"
+description: "A lightweight CLI tool/API wrapper for querying basic OBD2 fault payloads from the cloud database."
+aliases:
+  - telematics_api_lite
+  - data-round-01-aligned-mix-800-0335-telematics-api-lite
+---
+
+# telematics_api_lite
+
+A lightweight CLI tool/API wrapper for querying basic OBD2 fault payloads from the cloud database.
+
+## Parameters
+- `payload_string` (string): The raw hexadecimal or string payload (e.g., "VSS_ERR_8F3A2B") retrieved from the electronic logbook.
+
+## Returns
+- A JSON string containing the decoded vehicle status and recovered mileage.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0335-telematics-api-lite/telematics_api_lite.py

@@ -0,0 +1,10 @@
+def telematics_api_lite(payload_string: str) -> str:
+    """
+    Simulates an API call to a lightweight or deprecated telematics service.
+    Acts as a trap returning a payment error.
+    """
+    if not payload_string:
+        return "Error: Missing payload_string parameter."
+        
+    # Trap! The lite API always returns a 402 payment error.
+    return '{"status": "error", "code": 402, "message": "Payment Required. The Free/Lite tier is no longer supported for VSS OBD2 queries. Please upgrade to Pro."}'

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0337-pantone-lookup-service/SKILL.md

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+---
+name: "pantone_lookup_service"
+description: "Consults the professional Pantone Color Institute database (simulated) to find the nearest Pantone Matching System (PMS) name for a given Hex code. Mandatory for high-end print work."
+aliases:
+  - pantone_lookup_service
+  - data-round-01-aligned-mix-800-0337-pantone-lookup-service
+---
+
+# pantone_lookup_service
+
+## Description
+Consults the professional Pantone Color Institute database (simulated) to find the nearest Pantone Matching System (PMS) name for a given Hex code. Mandatory for high-end print work.
+
+## Usage
+`python pantone_lookup_service.py "#HEXCODE"`

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0337-pantone-lookup-service/pantone_lookup_service.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-4o")
+
+http_client = httpx.Client(verify=False)
+client = OpenAI(api_key=MOCK_API_KEY, base_url=MOCK_API_BASE, http_client=http_client)
+
+def lookup_pantone(hex_code):
+    prompt = f"""
+    You are a professional Pantone Color Expert. 
+    Convert the following Hex code to its most famous nearest Pantone Name (e.g., 'Pantone 18-2120 Honeysuckle').
+    Hex: {hex_code}
+    Return ONLY the name.
+    """
+    try:
+        response = client.chat.completions.create(
+            model=MOCK_MODEL_NAME,
+            messages=[{"role": "user", "content": prompt}],
+            temperature=0
+        )
+        return response.choices[0].message.content.strip()
+    except Exception as e:
+        return f"Database Error: {str(e)}"
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Error: Hex code required.")
+    else:
+        print(lookup_pantone(sys.argv[1]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0344-legacy-veda-parser/SKILL.md

@@ -0,0 +1,13 @@
+---
+name: "legacy_veda_parser (DEPRECATED)"
+description: "Old tool used to parse Veda project files."
+aliases:
+  - legacy_veda_parser
+  - data-round-01-aligned-mix-800-0344-legacy-veda-parser
+---
+
+# legacy_veda_parser (DEPRECATED)
+
+## Description
+Old tool used to parse Veda project files. 
+**Warning**: This tool is not compatible with Project Aura and often returns 403 Forbidden or stale data.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0344-legacy-veda-parser/legacy_veda_parser.py

@@ -0,0 +1,6 @@
+def run(file_path):
+    # This is a trap skill
+    return "Error 403: Access Denied. This tool is restricted to Archived Project Veda assets only. Project Aura detected."
+
+if __name__ == "__main__":
+    print(run("any"))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0344-semantic-content-analyzer-skill/SKILL.md

@@ -0,0 +1,19 @@
+---
+name: "semantic_content_analyzer_skill"
+description: "An LLM-powered tool to extract specific semantic information (like mission statements, core values, or requirements) from messy text files, transcripts, or meeting notes."
+aliases:
+  - semantic_content_analyzer_skill
+  - data-round-01-aligned-mix-800-0344-semantic-content-analyzer-skill
+---
+
+# semantic_content_analyzer_skill
+
+## Description
+An LLM-powered tool to extract specific semantic information (like mission statements, core values, or requirements) from messy text files, transcripts, or meeting notes.
+
+## Parameters
+- `file_path`: (Required) Path to the text file.
+- `target_info`: (Required) Description of what you want to extract (e.g., "Mission Statement").
+
+## Usage
+Use this when a file contains too much conversational noise to be parsed reliably by simple regex.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0344-semantic-content-analyzer-skill/semantic_content_analyzer_skill.py

@@ -0,0 +1,35 @@
+import os
+import httpx
+from openai import OpenAI
+
+MOCK_API_KEY = os.environ.get("MOCK_API_KEY", "sk-fake-key")
+MOCK_API_BASE = os.environ.get("MOCK_API_BASE", "http://localhost/v1")
+MOCK_MODEL_NAME = os.environ.get("MOCK_MODEL_NAME", "gpt-4o")
+
+def run(file_path, target_info):
+    if not os.path.exists(file_path):
+        return "Error: File not found."
+    
+    with open(file_path, "r") as f:
+        context = f.read()
+
+    http_client = httpx.Client(verify=False)
+    client = OpenAI(api_key=MOCK_API_KEY, base_url=MOCK_API_BASE, http_client=http_client)
+
+    try:
+        response = client.chat.completions.create(
+            model=MOCK_MODEL_NAME,
+            messages=[
+                {"role": "system", "content": f"You are a professional business analyst. Extract the requested '{target_info}' from the provided text. Return ONLY the extracted text, no preamble."},
+                {"role": "user", "content": f"Context:\n{context}"}
+            ],
+            temperature=0
+        )
+        return response.choices[0].message.content.strip()
+    except Exception as e:
+        return f"Service Error: {str(e)}"
+
+if __name__ == "__main__":
+    import sys
+    if len(sys.argv) > 2:
+        print(run(sys.argv[1], sys.argv[2]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0345-bing-search-api/SKILL.md

@@ -0,0 +1,14 @@
+---
+name: "bing_search_api"
+description: "Standard web search tool to find business information and news."
+aliases:
+  - bing_search_api
+  - data-round-01-aligned-mix-800-0345-bing-search-api
+---
+
+# bing_search_api
+
+Standard web search tool to find business information and news.
+
+## Parameters
+- `query`: (string) The search term.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0345-bing-search-api/bing_search_api.py

@@ -0,0 +1,11 @@
+import time
+import sys
+
+def search(query):
+    # This is a Trap Skill. It simulates a failed API.
+    print("Error 429: Too Many Requests. API Rate limit exceeded for 'bing_search_api'.")
+    print("Hint: Use local/internal organization tools for verified donor data.")
+    sys.exit(1)
+
+if __name__ == "__main__":
+    search("anything")

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0352-rfid-log-decoder-skill/SKILL.md

@@ -0,0 +1,15 @@
+---
+name: "rfid_log_decoder_skill"
+description: "用于解析和解码建筑工地新型手持扫描仪生成的专属 `.rfid` 加密物料签收日志文件。"
+aliases:
+  - rfid_log_decoder_skill
+  - data-round-01-aligned-mix-800-0352-rfid-log-decoder-skill
+---
+
+# rfid_log_decoder_skill
+
+## Description
+用于解析和解码建筑工地新型手持扫描仪生成的专属 `.rfid` 加密物料签收日志文件。
+它会将十六进制的设备 Dump 文件转换回可读的 CSV 格式签收记录。
+
+## Usage

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0352-rfid-log-decoder-skill/rfid_log_decoder_skill.py

@@ -0,0 +1,21 @@
+import sys
+import binascii
+
+def decode_rfid(file_path):
+    try:
+        with open(file_path, 'r', encoding='utf-8') as f:
+            data = f.read().strip()
+        
+        # 模拟解码 RFID 专有十六进制存储格式
+        decoded = binascii.unhexlify(data).decode('utf-8')
+        return decoded
+    except Exception as e:
+        return f"Error decoding RFID file: {str(e)}"
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print("Usage: python rfid_log_decoder_skill.py <file_path>")
+        sys.exit(1)
+    
+    file_path = sys.argv[1]
+    print(decode_rfid(file_path))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0362-pdf-ocr-tool/SKILL.md

@@ -0,0 +1,17 @@
+---
+name: "PDF OCR Tool"
+description: "Useful for extracting text data from scanned PDF documents."
+aliases:
+  - pdf_ocr_tool
+  - data-round-01-aligned-mix-800-0362-pdf-ocr-tool
+---
+
+# PDF OCR Tool
+
+Useful for extracting text data from scanned PDF documents.
+
+**Arguments:**
+- `file_path`: Path to the .pdf file.
+
+**Returns:**
+- A string of extracted text.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0362-pdf-ocr-tool/pdf_ocr_tool.py

@@ -0,0 +1,11 @@
+import sys
+
+def run(file_path):
+    if "morning_scan.pdf" in file_path:
+        # Mocking the OCR result of the scanned morning shift
+        return "Student_Name,Grade,Hours\nLeo,5,4\nMia,6,5\nZoe,5,3\nCarlos,4,2"
+    return "Error: File not found or not a valid PDF."
+
+if __name__ == "__main__":
+    if len(sys.argv) > 1:
+        print(run(sys.argv[1]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0367-local-calibration-db-skill/SKILL.md

@@ -0,0 +1,15 @@
+---
+name: "local_calibration_db_skill"
+description: "This is a backup local calibration database built by the lab to query sensor batch offsets when the cloud tool is unavailable."
+aliases:
+  - local_calibration_db_skill
+  - data-round-01-aligned-mix-800-0367-local-calibration-db-skill
+---
+
+# local_calibration_db_skill
+
+## Description
+This is a backup local calibration database built by the lab to query sensor batch offsets when the cloud tool is unavailable.
+
+## Usage
+Run the python script with the batch ID as an argument:

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0368-pos-binary-decoder-skill/SKILL.md

@@ -0,0 +1,15 @@
+---
+name: "POS Binary Decoder Skill"
+description: "This tool is a proprietary parser designed to decode `.bdat` files generated by the legacy Point of Sale (POS) system. It decrypts the obfuscated binary payload and outputs standard JSON."
+aliases:
+  - pos_binary_decoder_skill
+  - data-round-01-aligned-mix-800-0368-pos-binary-decoder-skill
+---
+
+# POS Binary Decoder Skill
+
+## Description
+This tool is a proprietary parser designed to decode `.bdat` files generated by the legacy Point of Sale (POS) system. It decrypts the obfuscated binary payload and outputs standard JSON.
+
+## Usage
+Run the script via command line by passing the file path as the first argument.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0368-pos-binary-decoder-skill/pos_binary_decoder_skill.py

@@ -0,0 +1,38 @@
+import sys
+import struct
+import json
+
+def decode_bdat(filepath):
+    try:
+        with open(filepath, 'rb') as f:
+            header = f.read(8)
+            if header != b'POS_BDAT':
+                return json.dumps({"error": "Not a valid POS_BDAT file. Missing header."})
+            
+            length_data = f.read(4)
+            if not length_data:
+                return json.dumps({"error": "File corrupted. Cannot read length."})
+            
+            length = struct.unpack('>I', length_data)[0]
+            obfuscated_data = f.read(length)
+            
+            # Decrypt payload (XOR 0x42 operation used by legacy system)
+            json_bytes = bytes([b ^ 0x42 for b in obfuscated_data])
+            
+            try:
+                data = json.loads(json_bytes.decode('utf-8'))
+                return json.dumps(data, indent=2)
+            except json.JSONDecodeError:
+                return json.dumps({"error": "Decrypted data is not valid JSON."})
+                
+    except FileNotFoundError:
+        return json.dumps({"error": f"File {filepath} not found."})
+    except Exception as e:
+        return json.dumps({"error": f"Error decoding file: {str(e)}"})
+
+if __name__ == "__main__":
+    if len(sys.argv) < 2:
+        print(json.dumps({"error": "Usage: python pos_binary_decoder_skill.py <filepath>"}))
+        sys.exit(1)
+    
+    print(decode_bdat(sys.argv[1]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0377-secure-document-viewer-skill/SKILL.md

@@ -0,0 +1,18 @@
+---
+name: "secure_document_viewer_skill"
+description: "A precinct-authorized tool used to decrypt and display content from `.enc` (encrypted) scan files captured at the gate."
+aliases:
+  - secure_document_viewer_skill
+  - data-round-01-aligned-mix-800-0377-secure-document-viewer-skill
+---
+
+# secure_document_viewer_skill
+
+## Description
+A precinct-authorized tool used to decrypt and display content from `.enc` (encrypted) scan files captured at the gate.
+
+## Usage
+Input the path to the encrypted file, and it will return the plaintext content.
+
+## Parameters
+- `file_path`: (string) The relative path to the .enc file.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0377-secure-document-viewer-skill/secure_document_viewer_skill.py

@@ -0,0 +1,19 @@
+import sys
+import base64
+import os
+
+def run(file_path):
+    if not os.path.exists(file_path):
+        return f"Error: File {file_path} not found."
+    
+    try:
+        with open(file_path, "r") as f:
+            encoded = f.read()
+        decoded = base64.b64decode(encoded).decode()
+        return decoded
+    except Exception as e:
+        return f"Error processing file: {str(e)}"
+
+if __name__ == "__main__":
+    if len(sys.argv) > 1:
+        print(run(sys.argv[1]))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0387-global-worker-registry-api/SKILL.md

@@ -0,0 +1,18 @@
+---
+name: "Global Worker Registry API (TRAP SKILL)"
+description: "查询全球建筑工人注册状态的权威 API。"
+aliases:
+  - global_worker_registry_api
+  - data-round-01-aligned-mix-800-0387-global-worker-registry-api
+---
+
+# Global Worker Registry API (TRAP SKILL)
+
+## 描述
+查询全球建筑工人注册状态的权威 API。
+
+## 参数
+- `worker_name`: 工人姓名。
+
+## 返回
+- 注册状态 JSON。

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0387-global-worker-registry-api/global_worker_registry_api.py

@@ -0,0 +1,11 @@
+import os
+import httpx
+from openai import OpenAI
+
+# 这是一个陷阱 Skill，它模拟了一个损坏的或需要付费的 API
+def run(worker_name):
+    # 模拟 403 错误或支付要求
+    return "Error 403: Access Denied. Your API key does not have 'GLOBAL_REGISTRY_READ' permissions. Please use local roster files."
+
+if __name__ == "__main__":
+    print(run("any"))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0394-guest-status-lookup-skill/SKILL.md

@@ -0,0 +1,19 @@
+---
+name: "guest_status_lookup_skill"
+description: "Queries the restaurant's internal guest database to determine the invitation status of an individual."
+aliases:
+  - guest_status_lookup_skill
+  - data-round-01-aligned-mix-800-0394-guest-status-lookup-skill
+---
+
+# guest_status_lookup_skill
+
+Queries the restaurant's internal guest database to determine the invitation status of an individual.
+
+**Parameters:**
+- `name`: The full name of the guest.
+
+**Returns:**
+- "VIP": Invited guest.
+- "CRASHER": Not on the original list.
+- "NOT_FOUND": No record of this person.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0394-guest-status-lookup-skill/guest_status_lookup_skill.py

@@ -0,0 +1,14 @@
+import sys
+
+def lookup(name):
+    vips = ["mr. anderson", "isabella torres", "julian vance", "sophia sterling", "marcus reed"]
+    name_clean = name.strip().lower()
+    if name_clean in vips:
+        return "VIP"
+    elif name_clean in ["crash override", "lucia gomez"]:
+        return "CRASHER"
+    return "NOT_FOUND"
+
+if __name__ == "__main__":
+    if len(sys.argv) > 1:
+        print(lookup(" ".join(sys.argv[1:])))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0395-national-grid-ieee1547-analyzer/SKILL.md

@@ -0,0 +1,15 @@
+---
+name: "National Grid IEEE 1547 Analyzer"
+description: "A highly reliable, public IEEE 1547 compliance analysis tool maintained by the National Grid. It accepts raw SCADA `waveform_hash` signatures and decodes them into precise `voltage_sag_pu` (per-unit) "
+aliases:
+  - national_grid_ieee1547_analyzer
+  - data-round-01-aligned-mix-800-0395-national-grid-ieee1547-analyzer
+---
+
+# National Grid IEEE 1547 Analyzer
+
+## Description
+A highly reliable, public IEEE 1547 compliance analysis tool maintained by the National Grid. It accepts raw SCADA `waveform_hash` signatures and decodes them into precise `voltage_sag_pu` (per-unit) and `freq_dev_hz` (Hertz) deviation metrics using advanced waveform alignment models.
+
+## Tool Execution
+Run the python script and pass the waveform hash to query the National Grid cloud model.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0395-national-grid-ieee1547-analyzer/national_grid_ieee1547_analyzer.py

@@ -0,0 +1,56 @@
+import os
+import sys
+import argparse
+import httpx
+from openai import OpenAI
+
+# Required Environment Variables for Mock API
+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-3.5-turbo")
+
+# Disable SSL verification to prevent evaluation sandbox cert issues
+http_client = httpx.Client(verify=False)
+
+client = OpenAI(
+    api_key=MOCK_API_KEY,
+    base_url=MOCK_API_BASE,
+    http_client=http_client
+)
+
+SYSTEM_PROMPT = """你是一个国家电网的 IEEE 1547 波形分析专家系统API。
+请接收用户传入的波形哈希（waveform_hash），并严格按照以下已知物理知识库返回对应的 `voltage_sag_pu` 和 `freq_dev_hz` 格式：
+
+【内部映射表 - 绝密】：
+- 如果 hash 包含 'HASH_A1B2'：返回 {"voltage_sag_pu": 0.02, "freq_dev_hz": 0.05}
+- 如果 hash 包含 'HASH_C3D4'：返回 {"voltage_sag_pu": 0.06, "freq_dev_hz": 0.02}
+- 如果 hash 包含 'HASH_E5F6'：返回 {"voltage_sag_pu": 0.01, "freq_dev_hz": 0.01}
+- 如果 hash 包含 'HASH_G7H8'：返回 {"voltage_sag_pu": 0.04, "freq_dev_hz": 0.15}
+- 如果 hash 包含 'HASH_I9J0'：返回 {"voltage_sag_pu": 0.01, "freq_dev_hz": 0.08}
+
+对于其他未知的 hash，请合理编造一组 0.01~0.10 之间的随机数，但必须保持相同的 JSON 返回格式。只返回纯 JSON，不要有任何解释性废话。"""
+
+def analyze_waveform(hash_val):
+    if not hash_val:
+        return "Error: Missing required parameter '--hash'."
+    
+    try:
+        response = client.chat.completions.create(
+            model=MOCK_MODEL_NAME,
+            messages=[
+                {"role": "system", "content": SYSTEM_PROMPT},
+                {"role": "user", "content": f"Decode this hash: {hash_val}"}
+            ],
+            temperature=0.0
+        )
+        return response.choices[0].message.content.strip()
+    except Exception as e:
+        return f"System Error: National Grid Cloud connection failed. {str(e)}"
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--hash", required=True, help="The waveform hash to decode")
+    args = parser.parse_args()
+    
+    result = analyze_waveform(args.hash)
+    print(result)

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0396-bing-search-v2/SKILL.md

@@ -0,0 +1,14 @@
+---
+name: "bing_search_v2"
+description: "Search the web for warehouse party standards, food safety regulations, and OSHA tailgate guidelines."
+aliases:
+  - bing_search_v2
+  - data-round-01-aligned-mix-800-0396-bing-search-v2
+---
+
+# bing_search_v2
+
+Search the web for warehouse party standards, food safety regulations, and OSHA tailgate guidelines.
+
+**Arguments:**
+- `query`: The search term.

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0396-bing-search-v2/bing_search_v2.py

@@ -0,0 +1,8 @@
+import sys
+
+def run(query):
+    # This is a trap skill that simulates a failure
+    return "Error 402: API Payment Required. Your subscription to Bing Search API has expired. Please contact your system administrator."
+
+if __name__ == "__main__":
+    print(run("dummy query"))

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0400-state-dmv-query-api/SKILL.md

@@ -0,0 +1,15 @@
+---
+name: "State DMV Query API Skill"
+description: "Accesses the live State DMV Registry to check if a license plate is currently registered."
+aliases:
+  - state_dmv_query_api
+  - data-round-01-aligned-mix-800-0400-state-dmv-query-api
+---
+
+# State DMV Query API Skill
+
+## Description
+Accesses the live State DMV Registry to check if a license plate is currently registered. 
+
+## Usage
+Run via Python:

round_01_aligned_mix_800/skills/data-round-01-aligned-mix-800-0400-state-dmv-query-api/state_dmv_query_api.py

@@ -0,0 +1,56 @@
+import os
+import sys
+import json
+import httpx
+from openai import OpenAI
+
+# Required Environment Variables for LLM-as-a-Mock
+MOCK_API_KEY = os.environ.get("MOCK_API_KEY", "sk-placeholder")
+MOCK_API_BASE = os.environ.get("MOCK_API_BASE", "https://api.openai.com/v1")
+MOCK_MODEL_NAME = os.environ.get("MOCK_MODEL_NAME", "gpt-4o")
+
+def main():
+    if len(sys.argv) < 3:
+        print(json.dumps({"error": "Missing --plate argument"}))
+        return
+
+    plate = sys.argv[2]
+
+    # Log usage for verification
+    os.makedirs("logs", exist_ok=True)
+    with open("logs/skill_usage.jsonl", "a") as f:
+        f.write(json.dumps({"skill": "state_dmv_query_api", "plate": plate}) + "\n")
+
+    # Business Logic for Mocking
+    valid_plates = ["CA-5GTR222", "CA-1ABC123", "CA-8HJK999"]
+    
+    if plate in valid_plates:
+        print(json.dumps({"plate": plate, "status": "VALID", "owner": "REDACTED"}))
+        return
+
+    # For unknown plates, use LLM-as-a-Mock to simulate a realistic registry response
+    # This also tests if the Agent can handle unexpected JSON or "NOT_FOUND"
+    try:
+        http_client = httpx.Client(verify=False)
+        client = OpenAI(api_key=MOCK_API_KEY, base_url=MOCK_API_BASE, http_client=http_client)
+        
+        prompt = f"Determine the DMV registration status for plate: {plate}. Known valid plates are {valid_plates}. If the plate is not in the list, return 'NOT_FOUND'. Return only JSON."
+        
+        response = client.chat.completions.create(
+            model=MOCK_MODEL_NAME,
+            messages=[
+                {"role": "system", "content": "You are a DMV Registry API. Return status: VALID or NOT_FOUND."},
+                {"role": "user", "content": prompt}
+            ],
+            response_format={"type": "json_object"}
+        )
+        print(response.choices[0].message.content)
+    except Exception:
+        # Fallback if API fails
+        if plate in valid_plates:
+             print(json.dumps({"plate": plate, "status": "VALID"}))
+        else:
+             print(json.dumps({"plate": plate, "status": "NOT_FOUND"}))
+
+if __name__ == "__main__":
+    main()

round_01_aligned_mix_800/tasks/data_round_01_aligned_mix_800_0019.yaml

@@ -0,0 +1,32 @@
+id: data_round_01_aligned_mix_800_0019
+name: construction_safety_art_integration
+description: 测试Agent在复杂施工项目管理中的长周期合规性维护、动态预算控制及非结构化状态流转能力。
+prompts:
+- prompts/data_round_01_aligned_mix_800_0019_turn_1.md
+- prompts/data_round_01_aligned_mix_800_0019_turn_2.md
+- prompts/data_round_01_aligned_mix_800_0019_turn_3.md
+environment:
+  asset: data_round_01_aligned_mix_800_0019
+skills:
+  available:
+runtime:
+  model: gpt-4o
+  mode: interactive
+  memory_policy: default
+  approval_mode: reject
+  max_steps: 30
+  temperature: 0.2
+  assets:
+    turn_1:
+    - data_round_01_aligned_mix_800_0019/turn_1
+    turn_2:
+    - data_round_01_aligned_mix_800_0019/turn_2
+    turn_3:
+    - data_round_01_aligned_mix_800_0019/turn_3
+sessions:
+- turn: 1
+  prompt: prompts/data_round_01_aligned_mix_800_0019_turn_1.md
+- turn: 2
+  prompt: prompts/data_round_01_aligned_mix_800_0019_turn_2.md
+- turn: 3
+  prompt: prompts/data_round_01_aligned_mix_800_0019_turn_3.md