Add LLM key-hunter toolkit, vault, and skill

- tools/scripts/llm-key-hunter: GitHub leak hunting pipeline (hunt_*,
  pivot miner, two-layer verify/content caches, per-provider verification)
- usable_keys: verified key vault across 12 providers (deepseek, minimax,
  volcanoark, longcat, codingplan, zhipu free-tier, mimo, siliconflow, etc.)
- .grok/skills/llm-key-hunter: operator skill for the hunt/verify/vault flow
- NewAPI channel import scripts and CDP capture helpers
- Result verdict buckets (excluding multi-GB blob caches and dedup dumps)

tools/scripts/llm-key-hunter/results/source_files/1dd842d3e5b7.txt

@@ -0,0 +1,31 @@
+import requests
+import json
+
+API_KEY = "7c3632d6fad4489ca69c4626714459ed.a8uz4uvAReIfp5lO"  # 替换成你的实际API Key
+API_URL = "https://open.bigmodel.cn/api/paas/v4/chat/completions"
+
+
+def recommend_prescription(symptom):
+    headers = {
+        "Authorization": f"Bearer {API_KEY}",
+        "Content-Type": "application/json"
+    }
+    payload = {
+        "model": "glm-4",  # 使用GLM-4模型
+        "messages": [
+            {"role": "system", "content": "你是中医专家，根据症状推荐中药方剂，考虑配伍禁忌。"},
+            {"role": "user", "content": f"症状：{symptom}。推荐处方，并检查禁忌。"}
+        ],
+        "temperature": 0.7
+    }
+
+    response = requests.post(API_URL, headers=headers, json=payload)
+    if response.status_code == 200:
+        result = response.json()['choices'][0]['message']['content']
+        return result
+    else:
+        return f"API调用失败，状态码: {response.status_code}, 错误: {response.text}"
+
+
+# 测试
+print(recommend_prescription("头痛发热"))