ワンクリックで
model-scout
Find the best free cloud models and update models.json from OpenRouter leaderboard
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Find the best free cloud models and update models.json from OpenRouter leaderboard
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Communicate with other abtars agents — delegate tasks, ask questions
Full browser capability — managed Browsie session or emergency Main direct mode
Fetch web content — 4-level escalation chain from curl to full browser
When to use skill_create (procedures) vs memory_store (facts)
Fetch Twitter/X content — single tweets (no auth) or feeds (cookies)
Search, install, and update community skills from ClawHub (clawhub.ai)
| name | model-scout |
| description | Find the best free cloud models and update models.json from OpenRouter leaderboard |
| user-invocable | true |
Scout OpenRouter models — free tier, leaderboard top N, single model inspection.
scout-openrouter.py — free model scan, single model inspection, leaderboard fetchscout-leaderboard.py — dedicated leaderboard fetcher (top N by popularity)scout-ollama.py — Ollama cloud modelsscout-add-model.py — manual model addition# List free models vs catalog
python3 {baseDir}/scout-openrouter.py
# List + liveness test + write status to models.json
python3 {baseDir}/scout-openrouter.py --test
# Print top 20 (no changes)
python3 {baseDir}/scout-leaderboard.py 20
# Add/update top 20 in models.json (no liveness test)
python3 {baseDir}/scout-leaderboard.py 20 --update
# Test each model + update
python3 {baseDir}/scout-leaderboard.py 20 --test
Also available via scout-openrouter.py:
python3 {baseDir}/scout-openrouter.py --leaderboard 20
python3 {baseDir}/scout-openrouter.py --model tencent/hy3:free
This fetches model metadata from /api/v1/models/{id} and provider endpoints from /api/v1/models/{id}/endpoints, tests liveness, and updates models.json.
python3 {baseDir}/scout-ollama.py
Each model entry in models.json gets:
contextWindow, maxOutput — from API context_length and top_provider.max_completion_tokensrank — 1 (≥500K ctx), 2 (≥200K), 3 (smaller)cost — per token, raw OpenRouter pricing (from pricing.prompt / pricing.completion). Accurate for calculations; picker display converts to $/1M via the display field derived in transport-config.ts.transports — ["openrouter"]status — "alive" or "dead" (from liveness test)providers — dict of provider_name → {status, uptime_30m, latency_p50, throughput_p50, quant, max_completion_tokens}validatedAt — ISO datePass ?sort= to /api/v1/models:
most-popular — default leaderboard order (usage-based)top-weekly — weekly usageintelligence-high-to-low — benchmark scorespricing-low-to-high — cheapest firstcontext-high-to-low — largest context firstthroughput-high-to-low — fastest firstlatency-low-to-high — lowest latency first{
"model-id": {
"contextWindow": 262144,
"maxOutput": 16384,
"rank": 2,
"cost": { "input": 0.0, "output": 0.0 },
"transports": ["openrouter"],
"description": "Why this model was added",
"validatedAt": "2026-07-10",
"status": "alive",
"providers": {
"Novita": {
"status": 0,
"uptime_30m": 99.91,
"latency_p50": 2756,
"throughput_p50": 44,
"quant": "unknown",
"max_completion_tokens": 262144
}
}
}
}
curl -s https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"model-id","messages":[{"role":"user","content":"Say OK"}],"max_tokens":50}'
~/.abtars/config/models.json (hot-reloaded)~/.abtars/config/transport.json