據 AlphaMoat 統計,截至 2026-09,Clawrouter 累計下載 4,717 次、獲 11 個星標,在全部 5,078 個 AI 技能中排名第 2,007 位,在「AI 智慧體」分類(969 個)中排名第 377 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 149 | 4511 | 11 | 2 |
| SkillHub ↗ | 149 | 4717 | 11 | — |
各平台的計數口徑不同,統計時間不一致。
這不是本地推理工具:每次請求的完整提示內容和引數會傳送到 blockrun.ai。某些模型或工具呼叫會從配置的 USDC 錢包自動付款。生成的錢包簽名金鑰儲存在 OpenClaw 配置檔案中且為明文;應按敏感金鑰保護配置檔案,並僅使用餘額受限的錢包。使用前需確認資料允許傳送給第三方託管模型、支付方式與費用範圍;不要提交不適合分享給外部 API 的內容。 安裝前核對 npm 包的具體版本和預期支出上限。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 4717 | — | 11 |
| 2026-08 | 4359 | +3.4% | 11 |
| 2026-07 | 4215 | +6.7% | 11 |
| 2026-06 | 3952 | +5.1% | 11 |
| 2026-05 | 3760 | — | 11 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
---
name: clawrouter
description: Hosted-gateway LLM router — save 67% on inference costs. A local proxy that forwards each request to the blockrun.ai gateway, which routes to the cheapest capable model across 55+ models from OpenAI, Anthropic, Google, DeepSeek, xAI, NVIDIA, and more. 8 free NVIDIA models included. Also exposes realtime market data (global stocks, crypto, FX, commodities), Twitter/X intelligence, and Polymarket prediction market data as built-in agent tools. Not a local-inference tool — prompts are sent to the blockrun.ai gateway.
homepage: https://blockrun.ai/clawrouter.md
repository: https://github.com/BlockRunAI/ClawRouter
license: MIT
metadata:
{
"openclaw":
{ "emoji": "🦀",
"requires": { "config": ["models.providers.blockrun"] },
"install":
[
{
"id": "node",
"kind": "node",
"package": "@blockrun/clawrouter",
"bins": ["clawrouter"],
"label": "Install ClawRouter (npm)",
},
],
},
}
---
# ClawRouter
Hosted-gateway LLM router that saves 67% on inference costs by forwarding each request to the blockrun.ai gateway, which picks the cheapest model capable of handling it across 55+ models from 9 providers (8 free NVIDIA models). All billing flows through one USDC wallet; you do not hold provider API keys.
**This is not a local-inference tool.** ClawRouter is a thin local proxy. Your prompts are sent over HTTPS to the blockrun.ai gateway for model execution. If your workload requires inference that never leaves your machine, use a local runtime like Ollama — ClawRouter is not the right tool for that use case.
Source: https://github.com/BlockRunAI/ClawRouter · npm: https://www.npmjs.com/package/@blockrun/clawrouter · License: MIT.
## Data Flow
```
Your app → localhost proxy (ClawRouter) → https://blockrun.ai/api (or sol.blockrun.ai/api)
↓
OpenAI / Anthropic / Google / etc.
↓
Response → back through proxy → your app
```
**Sent to blockrun.ai on every request:** the model name, the full prompt/messages body, sampling params (temperature, max_tokens, tools, etc.), and an `X-PAYMENT` header containing a signed x402 USDC micropayment.
**Not sent:** your wallet private key (only the detached payment signature is sent), any other local files, environment variables, or OpenClaw config beyond what's needed for this request.
**Blockrun's privacy stance:** https://blockrun.ai/privacy. Treat prompts the same way you'd treat prompts sent to any hosted LLM API (OpenAI, Anthropic, etc.) — do not send data you would not share with a third-party API provider.
## Credentials & Local Key Storage
ClawRouter does **not** collect or forward third-party provider API keys. You do not supply OpenAI, Anthropic, Google, DeepSeek, xAI, or NVIDIA credentials — the blockrun.ai gateway owns those relationships.
**What `models.providers.blockrun` stores (fully enumerated):**
| Field | Sensitive | Purpose |
| ----------- | --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `walletKey` | Yes | EVM private key used to sign USDC micropayments via x402. **Auto-generated locally on first run** — no user input required. Never transmitted over the network; only detached payment signatures are sent. |
| `solanaKey` | Yes | Solana keypair (BIP-44 `m/44'/501'/0'/0'`). Auto-derived from the same local mnemonic via `@scure/bip32` + `@scure/bip39`. |
| `gateway` | No | Gateway URL. Defaults: `https://blockrun.ai/api` (Base) · `https://sol.blockrun.ai/api` (Solana). |
| `routing` | No | Optional override of the default four-tier router. |
**How and where keys are stored:**
- Keys live in the OpenClaw user config file — typically `~/.config/openclaw/config.json` on Linux, `~/Library/Application Support/openclaw/config.json` on macOS, `%APPDATA%\openclaw\config.json` on Windows — under the `models.providers.blockrun` path.
- Written by OpenClaw's standard config writer with `0600` permissions on POSIX systems (owner read/write only).
- **Stored in plaintext**, the same way every OpenClaw provider's API key is stored. ClawRouter does not add an extra encryption layer; your filesystem permissions are the security boundary. If you require an encrypted keystore, run OpenClaw on an encrypted volume (FileVault, LUKS, BitLocker) or use a dedicated burner wallet funded only with what you intend to spend.
- Auto-generation uses `@scure/bip39` to produce a 24-word mnemonic, then BIP-44 derivation for both chains. Source: [`src/wallet.ts`](https://github.com/BlockRunAI/ClawRouter/blob/main/src/wallet.ts).
**Operational guidance:** treat the wallet as a spending account with a small top-up, not a long-term store of value. Fund it with what you expect to spend on LLM calls. If the host machine is compromised, the wallet key is compromised — rotate and refund.
## Supply-Chain Integrity
- Every release is tagged on GitHub: https://github.com/BlockRunAI/ClawRouter/releases
- Every release publishes to npm with a matching version: https://www.npmjs.com/package/@blockrun/clawrouter?activeTab=versions
- The `skills/release/SKILL.md` mandatory checklist enforces: same version in `package.json`, matching git tag, matching GitHub release, and matching npm publish.
- To verify locally: `npm pack @blockrun/clawrouter@<version>` and compare the tarball contents to the tagged commit.
## Install
```bash
openclaw plugins install @blockrun/clawrouter
```
The structured `install` block above tells OpenClaw to install the auditable npm package `@blockrun/clawrouter`. Source for every version is on GitHub; every release is tagged.
## Setup
```bash
# Enable smart routing (auto-picks cheapest model per request)
openclaw models set blockrun/auto
# Or pin a specific model
openclaw models set openai/gpt-4o
```
## How Routing Works
ClawRouter classifies each request into one of four tiers:
- **SIMPLE** (40% of traffic) — factual lookups, greetings, translations → Gemini Flash ($0.60/M, 99% savings)
- **MEDIUM** (30%) — summaries, explanations, data extraction → DeepSeek Chat ($0.42/M, 99% savings)
- **COMPLEX** (20%) — code generation, multi-step analysis → Claude Opus ($75/M, best quality)
- **REASONING** (10%) — proofs, formal logic, multi-step math → o3 ($8/M, 89% savings)
Rules handle ~80% of requests in <1ms. Only ambiguous queries hit the LLM classifier (~$0.00003 per classification).
## Available Models
55+ models including: gpt-5.5, gpt-5.4, gpt-4o, o3, claude-opus-4.7, claude-opus-4.6, claude-opus-4.5, claude-sonnet-4.6, gemini-3.1-pro, gemini-2.5-flash, deepseek-chat, grok-3, kimi-k2.6, kimi-k2.5, and 10 free NVIDIA models (gpt-oss-120b [default], gpt-oss-20b, mistral-small-4-119b, deepseek-v4-pro, deepseek-v4-flash, qwen3-next-80b-a3b-thinking, qwen3-coder-480b, glm-4.7, llama-4-maverick, nemotron-3-nano-omni-30b-a3b-reasoning [vision]).
## Built-in Agent Tools
In addition to LLM routing, ClawRouter exposes BlockRun's x402-gated data APIs as ready-to-use OpenClaw tools. Every tool is paid from the same USDC wallet — no extra setup, no extra API keys.
### Market Data
Realtime prices and historical OHLC across every asset class. The agent should call these directly instead of scraping finance sites.
| Tool | Coverage | Price |
| -------------------------- | ------------------------------------------------------------------------------- | ------------- |
| `blockrun_stock_price` | 12 global markets: US (NYSE/Nasdaq), HK, JP, KR, UK, DE, FR, NL, IE, LU, CN, CA | $0.001 / call |
| `blockrun_stock_history` | OHLC bars at 1/5/15/60/240-min or D/W/M resolution | $0.001 / call |
| `blockrun_stock_list` | Ticker lookup / company-name search per market | Free |
| `blockrun_crypto_price` | BTC-USD, ETH-USD, SOL-USD, and more | Free |
| `blockrun_fx_price` | EUR-USD, GBP-USD, JPY-USD, and more | Free |
| `blockrun_commodity_price` | XAU-USD (gold), XAG-USD (silver), XPT-USD (platinum) | Free |
### Image & Video Generation
| Tool | Purpose | Price |
| --------------------------- | --------------------------------------------------------------------------- | -------------------- |
| `blockrun_image_generation` | 8 image models — DALL-E 3, Nano Banana / Pro, Flux, Grok Imagine, CogView-4 | $0.015–$0.15 / image |
| `blockrun_image_edit` | Edit / inpaint existing image (openai/gpt-image-1) | $0.02–$0.04 / image |
| `blockrun_video_generation` | Grok Imagine + ByteDance Seedance (1.5-pro / 2.0-fast / 2.0), 5–10s | $0.03–$0.30 / second |
### Polymarket (Predexon)
Full prediction-market toolbox: live events, leaderboard, market search, smart money positioning, wallet analytics, and cross-market arbitrage matching (Polymarket ↔ Kalshi). 8 tools, `$0.001–$0.005` per call. See `blockrun_predexon_*` in the tool list.
## Example Output
```
[ClawRouter] google/gemini-2.5-flash (SIMPLE, rules, confidence=0.92)
Cost: $0.0025 | Baseline: $0.308 | Saved: 99.2%
```
將開發過程中的經驗、錯誤與修正記錄為 Markdown 檔案,供日後重用並提升為工作區記憶。
用自然語言描述需求,在本機與遠端技能市場尋找技能並取得推薦。
給 AI agent 用的瀏覽器自動化命令列技能。
將使用者明確糾正與自我檢視整理成分層記憶,並依使用情況升級或封存。
在安裝第三方技能之前,按清單審查來源、許可權與危險模式的技能。
將代理記憶與跨技能狀態整理成具型別與約束的知識圖譜。
規劃 AI 代理主動跟進、工作記憶與回顧流程的工作區設定指南。
指導如何建立與更新有效 Claude 技能的寫作指南。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。