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/a1330e0ad523.txt

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+#PY_ENVIRONMENT=dev
+PY_ENVIRONMENT=local # 启用本地开发环境
+#PY_ENVIRONMENT=deploy
+PY_DEBUG=true
+
+# ---------注意-----------------------------------
+# 如下模型中只能使用其中的某一个模型，不能同时配置多个模型
+# 去对应的官网申请api-key,并替换YOUR API-KEY
+# 也可以使用ollama本地运行的模型，api-key设置为ollama
+# ⚠️文生图的模型暂时使用zhipuai，因此要配置zhipuai的api-key
+# -----------------------------------------------
+
+# 智普ai
+LLM_BASE_URL=https://open.bigmodel.cn/api/paas/v4/
+LLM_API_KEY=bdae524145564428bfbb0676d5ec4b07.uy0YzYARTfcXwFBP
+MODEL_NAME=glm-4
+
+# openai
+# LLM_BASE_URL=https://api.openai.com/v1
+# LLM_API_KEY=vItA3PGlQCBdUEgWr2hKmfDAuWMby6mnwpjIfLK9umisb75-PI_teMrbKrs5ez-_oDqAHxzVXsT3BlbkFJjO9HD4kR7HbLfICu4NIqueiAroDQ5WkayRQa3VfKAYBFl2TDGMt4QPM_QG3A2eIuxgj-9tC9sA
+# MODEL_NAME=gpt-4o
+
+
+# kimi
+#LLM_BASE_URL=https://api.moonshot.cn/v1
+#LLM_API_KEY=YOUR API-KEY
+#MODEL_NAME=moonshot-v1-8k
+
+# 百川大模型
+#LLM_BASE_URL=https://api.baichuan-ai.com/v1/
+#LLM_API_KEY=YOUR API-KEY
+#MODEL_NAME=Baichuan4
+
+# 通义千问
+#LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
+#LLM_API_KEY=YOUR API-KEY
+#MODEL_NAME=qwen-long
+
+# 零一万物
+#LLM_BASE_URL=https://api.lingyiwanwu.com/v1
+#LLM_API_KEY=YOUR API-KEY
+#MODEL_NAME=yi-large
+
+# deepseek
+# LLM_BASE_URL=https://api.deepseek.com
+# LLM_API_KEY=sk-9f24a118a734432b85fb31a48ae7fc9d
+# MODEL_NAME=deepseek-chat
+
+# 豆包
+#LLM_BASE_URL=https://ark.cn-beijing.volces.com/api/v3/
+#LLM_API_KEY=YOUR API-KEY
+# 注意：对于豆包api，model_name参数填入ENDPOINT_ID，具体申请操作在豆包api官网提供。
+#MODEL_NAME=
+
+# ollama
+# LLM_BASE_URL=http://localhost:11434/v1/
+# LLM_API_KEY=ollama
+# MODEL_NAME=qwen2:7b
+
+#文生图模型，暂时使用zhipuai
+#OPENAI_API_KEY=YOUR API-KEY
+ZHIPUAI_API_KEY=YOUR API-KEY
+
+# 这里填入你的组织名
+ORGANIZATION_NAME= xxx团队
+
+GRADIO_ANALYTICS_ENABLED=False